Relevant bibliographies by topics / PRIORITIZE GENES

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'PRIORITIZE GENES'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "PRIORITIZE GENES"

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Gong, Lejun, Ronggen Yang, Chun Zhang, Quan Liu, Huakang Lee, and Geng Yang. "RE-RANKING FOR PRIORITIZATION OF DISEASE-RELATED GENES." Biomedical Engineering: Applications, Basis and Communications 28, no. 04 (2016): 1650027. http://dx.doi.org/10.4015/s1016237216500277.

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To explore the genetic complexity of disease, this paper focuses on the prioritization of susceptibility genes by re-ranking. This approach prioritizes disease-related genes based on the prior ranking. The genes in prior ranking are divided into seeds and candidates. And then these seed genes are used to prioritize candidates based on association rules. Experimental results show the approach is promising for finding new disease-related genes.
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Zhang, Yi, Tao Wang, Yan Wang, Kun Xia, Jinchen Li, and Zhongsheng Sun. "Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders." Molecular Neurobiology 58, no. 8 (2021): 3863–73. http://dx.doi.org/10.1007/s12035-021-02377-y.

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AbstractNeurodevelopmental disorders (NDDs) are a group of diseases characterized by high heterogeneity and frequently co-occurring symptoms. The mutational spectrum in patients with NDDs is largely incomplete. Here, we sequenced 547 genes from 1102 patients with NDDs and validated 1271 potential functional variants, including 108 de novo variants (DNVs) in 78 autosomal genes and seven inherited hemizygous variants in six X chromosomal genes. Notably, 36 of these 78 genes are the first to be reported in Chinese patients with NDDs. By integrating our genetic data with public data, we prioritize
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Xin, Huang, Wang Changchen, Liu Lei, Yang Meirong, Zhang Ye, and Pan Bo. "The Phenolyzer Suite: Prioritizing the Candidate Genes Involved in Microtia." Annals of Otology, Rhinology & Laryngology 128, no. 6 (2019): 556–62. http://dx.doi.org/10.1177/0003489419840052.

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Objective: Microtia is a congenital malformation of the external ear. Great progress about the genetic of microtia has been made in recent years. This article was to prioritize the potential candidate pathogenic genes of microtia based on existing studies and reports, with the purpose of narrowing the range of following study scientifically and quickly. Method: A computational tool called Phenolyzer (phenotype-based gene analyzer) was used to prioritize microtia genes. Microtia, as a query term, was input in the interface of Phenolyzer. After several steps, including disease match, gene query,
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Tranchevent, L. C., F. B. Capdevila, D. Nitsch, B. De Moor, P. De Causmaecker, and Y. Moreau. "A guide to web tools to prioritize candidate genes." Briefings in Bioinformatics 12, no. 1 (2010): 22–32. http://dx.doi.org/10.1093/bib/bbq007.

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Rylander, Ragnar. "Genes and Agents: How to Prioritize to Prevent Disease." Archives of Environmental Health: An International Journal 50, no. 5 (1995): 333–34. http://dx.doi.org/10.1080/00039896.1995.9935963.

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Asefa, Nigus G., Zoha Kamali, Satyajit Pereira, et al. "Bioinformatic Prioritization and Functional Annotation of GWAS-Based Candidate Genes for Primary Open-Angle Glaucoma." Genes 13, no. 6 (2022): 1055. http://dx.doi.org/10.3390/genes13061055.

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Background: Primary open-angle glaucoma (POAG) is the most prevalent glaucoma subtype, but its exact etiology is still unknown. In this study, we aimed to prioritize the most likely ‘causal’ genes and identify functional characteristics and underlying biological pathways of POAG candidate genes. Methods: We used the results of a large POAG genome-wide association analysis study from GERA and UK Biobank cohorts. First, we performed systematic gene-prioritization analyses based on: (i) nearest genes; (ii) nonsynonymous single-nucleotide polymorphisms; (iii) co-regulation analysis; (iv) transcrip
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Cabrera-Andrade, Alejandro, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, et al. "Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis." International Journal of Molecular Sciences 21, no. 3 (2020): 1053. http://dx.doi.org/10.3390/ijms21031053.

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Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its molecular etiology has still not been determined with precision. Therefore, we applied a consensus strategy with the use of several bioinformatics tools to prioritize genes involved in its pathogenesis. Subsequently, we assessed the physical interactions of the previously selected genes and applied a communality analysis to this protein–protein interaction network. The consensus strategy
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Somepalli, Gowthami, Sarthak Sahoo, Arashdeep Singh, and Sridhar Hannenhalli. "Prioritizing and characterizing functionally relevant genes across human tissues." PLOS Computational Biology 17, no. 7 (2021): e1009194. http://dx.doi.org/10.1371/journal.pcbi.1009194.

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Knowledge of genes that are critical to a tissue’s function remains difficult to ascertain and presents a major bottleneck toward a mechanistic understanding of genotype-phenotype links. Here, we present the first machine learning model–FUGUE–combining transcriptional and network features, to predict tissue-relevant genes across 30 human tissues. FUGUE achieves an average cross-validation auROC of 0.86 and auPRC of 0.50 (expected 0.09). In independent datasets, FUGUE accurately distinguishes tissue or cell type-specific genes, significantly outperforming the conventional metric based on tissue
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Mahmood, Iqra, Asif Nadeem, Masroor Ellahi Babar, et al. "Systematic and Integrated Analysis Approach to Prioritize Mastitis Resistant Genes." Pakistan Journal of Zoology 49, no. 1 (2016): 101–6. http://dx.doi.org/10.17582/journal.pjz/2017.49.1.101.106.

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Oliver, Karen L., Vesna Lukic, Natalie P. Thorne, Samuel F. Berkovic, Ingrid E. Scheffer, and Melanie Bahlo. "Harnessing Gene Expression Networks to Prioritize Candidate Epileptic Encephalopathy Genes." PLoS ONE 9, no. 7 (2014): e102079. http://dx.doi.org/10.1371/journal.pone.0102079.

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Dissertations / Theses on the topic "PRIORITIZE GENES"

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Alcon, Timothy C. "Using a seed-network to query multiple large-scale gene expression datasets from the developing retina in order to identify and prioritize experimental targets." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1473175.

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CHAHAL, ASHISH. "ANALYSIS AND ANNOTATION OF EXOME SEQUENCING DATA TO IDENTIFY AND PRIORITIZE GENES RESPONSIBLE FOR PROSTATE ADENOCARCINOMA." Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15573.

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After skin cancer prostate cancer is the second most prevalent cancer in men. Somatic mutations in Prostate Adenocarcinoma are revealed by processing of the next-generation DNA sequencing data of the exome region. Mutation in exome region directly effects the expression of the genes and sometimes inhibits the expression which can lead to several diseases. High throughput technologies and NGS analysis enable us to find out variations in the exome region that are involved in complex pathways of cancers. Biomarkers can be identified using NGS and exome sequencing analysis pipelines which can help
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Lin, Shu-Ju, and 林書如. "Use of Pathway Score in Bayesian Model to Quantify and Prioritize Pathway Association and Gene Ranking." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/yx3fab.

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博士<br>國立臺灣大學<br>流行病學與預防醫學研究所<br>107<br>Cancer is an important topic of global concern. Some cancers are closely related to genetic aberrations. Not only is there a large number of new cancer patients per year, but the number of deaths due to cancer is also high. Genetic testing can help understand one’s disease risk and may prevent disease occurrence, if the causal key genes can be identified. Therefore, many researchers focus on identifying the key genes, among more than 20,000 human genes. Researchers need a lot of time and money to find key genes. In order to reduce costs, providing a prior
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Books on the topic "PRIORITIZE GENES"

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Schutte, Nienke M., Meike Bartels, and Eco JC de Geus. Genetics of physical activity and physical fitness. Edited by Neil Armstrong and Willem van Mechelen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198757672.003.0020.

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Regular physical activity and fitness are key contributors to children’s health. It is important to understand sources of variation in phenotypes seen among children and adolescents. It is important to calculate the relative importance of genetic and environmental factors to observed individual differences. Heritability estimates of physical activity vary, depending on sample size and measurement instrument, but the overall importance of environmental factors seems to decrease in adolescence, whereas genetic effects become more prominent. Twin and family studies show that individual difference
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Raykoff, Ivan. Liberace’s Musical/Material Appeal. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199935321.013.175.

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Inspired by the celebrated pianist-bandleaders Eddy Duchin and Carmen Cavallaro and the cinematic technique of José Iturbi in Hollywood films, pianist-entertainer Liberace (1919–1987) developed a distinctive and highly successful aesthetic and performance style that prioritized visual spectacle and emphasized the tactile elements of his playing. As evident in his first Soundies from 1943, then his nationally syndicated television show in the 1950s, Liberace highlighted the physicality and materiality of his music-making, an approach that later evolved into the signature props and flashy costum
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Miller, Timothy. This Machine Plays Country Music. Edited by Travis D. Stimeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190248178.013.27.

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This chapter explores the origins and development of the pedal steel guitar, showing the evolution of instrument traditions as an undercurrent to histories of genre and style. The pedal steel’s emergence in the early 1950s was a continuation of developments from the previous decades, as the exploration of technological answers to the musical “problems” of the steel guitar led to an expanded palette of sounds and gestures. The development of the instrument’s technology and vocabulary occurred within a community of musicians and makers whose priorities both reinforced and challenged the aestheti
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Book chapters on the topic "PRIORITIZE GENES"

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Nicolás, Marisa Fabiana, Maiana de Oliveira Cerqueira e Costa, Pablo Ivan P. Ramos, et al. "Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria." In Networks in Systems Biology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51862-2_10.

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Demneh, Sayedeh Razieh Abdollahi, Sama Goliaei, and Zahra Razaghi Moghadam. "Associating Protein Interactions with Disease Comorbidity to Prioritize Colorectal Cancer Genes." In International Conference on Biomedical and Health Informatics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4505-9_15.

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Kaimal, Vivek, Divya Sardana, Eric E. Bardes, Ranga Chandra Gudivada, Jing Chen, and Anil G. Jegga. "Integrative Systems Biology Approaches to Identify and Prioritize Disease and Drug Candidate Genes." In Methods in Molecular Biology. Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-954-3_16.

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Milano, Marianna. "Using Gene Ontology to Annotate and Prioritize Microarray Data." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1839-4_18.

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Marshall, John M., and Ace R. North. "Modeling Priorities as Gene Drive Mosquito Projects Transition from Lab to Field." In Mosquito Gene Drives and the Malaria Eradication Agenda. Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003308775-10.

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Raychaudhuri, Soumya. "Text-Based Analysis of a Single Series of Gene Expression Measurements." In Computational Text Analysis. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198567400.003.0012.

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In this chapter we begin to address the issue of the analysis of gene expression data with the scientific literature. Here we describe methods for the analysis of a single experiment—one where a single expression measurement has been made for many genes within the same organism. In Chapter 7 we will address the analysis of larger data sets with multiple expression measurements for each of the genes; the questions that occur in that setting are often more complex and utilization of scientific text in that setting can be more useful. But focusing on a single series of expression measurements is an effective starting point in understanding the scientific literature and how it can be used with experimental data. The lessons here can be applied to a wide array of genomic assays besides gene arrays. These methods can be applied to any assay that assigns a single value to each gene In addition, many investigators generate single-condition expression data sets, and these methods are widely applicable. One of the great difficulties in analyzing a single expression series is that context is lacking. That is, we have a large set of isolated measurements. Each measurement corresponds to the log of the relative ratio of a single gene’s expression in an experimental condition compared to its expression in a control condition. These measurements represent a single snapshot of a cell’s physiologic status. One of the great challenges is sorting out the physiologically important expression changes compared to random experimental and physiologic aberrations and fluctuations. Gene expression measurements are subject to a great amount of noise and distinguishing true positives from genes that are not truly induced or repressed is a great challenge. Typically, investigators use their knowledge of biology to prioritize likely positives. In this chapter we argue that text-mining approaches can be used to help prioritize these genes instead. Another equally important challenge is to discern broadly what biological functions are active in a given experiment.
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Hu, Hong, and Yang Dai. "Prioritize Transcription Factor Binding Sites for Multiple Co-Expressed Gene Sets Based on Lasso Multinomial Regression Models." In Biotechnology. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch037.

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Computational prediction of cis-regulatory elements for a set of co-expressed genes based on sequence analysis provides an overwhelming volume of potential transcription factor binding sites. It presents a challenge to prioritize a set of functional transcription factors and their binding sites on the regulatory regions of the target genes that are relevant to the gene expression study. A novel approach based on the use of lasso multinomial regression models is proposed to address this problem. We examine the ability of the lasso models using a time-course microarray data obtained from a comprehensive study of gene expression profiles in skin and mucosal in mouse over all stages of wound healing.
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Loreta Paun, Diana, and Alexandra Mirica. "Pheochromocytomas and Paragangliomas: Genotype-Phenotype Correlations." In Pheochromocytoma, Paraganglioma and Neuroblastoma. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95888.

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Pheochromocytomas and paragangliomas are rare neuroendocrine tumors, with genetic background in about 40% of cases, involving more than 30 susceptibility genes. The susceptibility genes can be divided into three main molecular clusters: pseudohypoxic, kinase signaling, and Wnt signaling. Biochemical characterization of these particular tumors should be integrated into the diagnostic algorithm because it can help apply personalized medicine principles and targeted therapy. These tumors can present with very different genotype-phenotype correlations, and their characterization can help the clinical practitioner make optimal clinical management decisions and prioritize genetic testing. This chapter summarizes the most important aspects of genetics and clinical characteristics, together with new genotype-phenotype correlation data.
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Andrés de Pablo, Juan, Luis Javier Serrano, Mariano García-Arranz, Luis Romeu, and Antonio Liras. "Gene and Cell Therapy in Dental Tissue Regeneration." In Human Teeth – Structure and Composition of Dental Hard Tissues and Developmental Dental Defects [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97757.

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Advanced therapies hold substantial promise for the treatment of periodontal conditions. Gene therapy has the potential to transfer “therapeutic” genes, which express proteins such as bone morphogenetic proteins, osteoprotegerin, and tissue nonspecific alkaline phosphatase, which is deficient in patients with hypophosphatasia, a condition that affects mineralization of teeth and bone. Transferred genes may also express platelet-derived growth factor, which modulates the growth of periodontal tissue and the alveolar bone. As regards cell therapy, several clinical trials have shown that mesenchymal stem cells, when used with different kinds of scaffolds to enable the required three-dimensional environment, possess a bone regeneration potential that is particularly useful in such disorders as osteoporosis and osteonecrosis, or for regenerating alveolar bone (osseointegration) prior to placing a dental implant. However, much work is still required before these new therapies become true alternatives in routine clinical dental practice. Medical advances require investments, which are usually influenced by the priorities of both politicians and society at large. This will contribute to promoting innovation, efficient treatments, medium- and long-term savings, and a higher quality of life.
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AYDIN, İlhan. "ULUSAL SU ÜRÜNLERİ GEN BANKASI VE BİYOÇEŞİTLİLİĞE ETKİLERİ." In BİYOÇEŞİTLİLİK VE EKOSİSTEMLER. TÜRKİYE BİLİMLER AKADEMİSİ, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-58-0.ch08.

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"The National Fisheries Gene Bank plays a very important role in recording, protecting and examining aquaculture genetic resources in Türkiye. This gene bank functions as a containment site for aquatic genetic resources. It aims to facilitate research into the conservation and seed production of species and preservation of genetic diversity. The National Fisheries Gene Bank prioritizes studying economically valuable species. By collecting and conserving genetic material from different populations, the gene bank ensures that valuable genetic traits and variations are preserved for future use. This genetic diversity can be used for selective breeding programs, improving disease resistance, and increasing the productivity and quality of aquaculture species. The gene bank also supports scientific research on biodiversity and provides a valuable resource for studying the ecological aspects of aquatic organisms. By analyzing the genetic material stored in the gene bank, researchers can gain insight into the genetic makeup, population dynamics and histories of aquatic species. This knowledge is essential for developing effective conservation strategies and understanding the effects of human activities on ecosystems. It also promotes international cooperation and knowledge exchange. By sharing genetic material and information, the gene bank contributes to efforts to conserve biodiversity and support sustainable aquaculture practices. The National Fisheries Gene Bank plays a vital role in the conservation of aquatic genetic resources. It supports scientific research, facilitates sustainable aquaculture practices, and contributes to global initiatives to conserve aquatic biodiversity. By conserving genetic resources and encouraging cooperation, the gene bank ensures the longterm viability of their ecosystems and the sustainable use of water resources."
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Conference papers on the topic "PRIORITIZE GENES"

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Wu, Mengmeng, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, and Rui Jiang. "Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes." In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217651.

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Janyasupab, Panisa, Apichat Suratanee, and Kitiporn Plaimas. "Heterogeneous data analysis of hypertrophic cardiomyopathy to prioritize important genes." In 2022 26th International Computer Science and Engineering Conference (ICSEC). IEEE, 2022. http://dx.doi.org/10.1109/icsec56337.2022.10049332.

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Yepes, Sally, Margaret Tucker, Hela Koka, et al. "Abstract 1638: Whole-exome sequencing and protein interaction networks to prioritize candidate genes for cutaneous melanoma susceptibility." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-1638.

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Jhee, Jong Ho, Min-Young Song, Byung Gon Kim, Hyunjung Shin, and Soo Youn Lee. "Transformer-Based Gene Scoring Model for Extracting Representative Characteristic of Central Dogma Process to Prioritize Pathogenic Genes Applying Breast Cancer Multi-omics Data." In 2023 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2023. http://dx.doi.org/10.1109/bigcomp57234.2023.00033.

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Wan, Cen. "Positive Feature Values Prioritized Hierarchical Dependency Constrained Averaged One-dependence Estimators for Gene Ontology Feature Spaces." In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9995482.

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Hasanova, Aytakin. "PREDICTIVE GENETIC SCREENING." In The First International Scientific-Practical Conference- “Modern Tendencies of Dialogue in Multidenominational Society: philosophical, religious, legal view”. IRETC MTÜ, 2020. http://dx.doi.org/10.36962/mtdms202029.

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Human, as a species, is very variable, and his variability is at the basis of his social organization. This variability is maintained, in part, by the chance effects of gene assortment and the variation in these genes is the result of mutations in the past. If our remote ancestors had not mutated we would not he here; further, since no species is likely to he able to reduce its mutation rate substantially by the sort of selection to which it is exposed, we may regard mutations of recent origin as part of the price of having evolved. We are here: all of us have some imperfections we would wish
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Reports on the topic "PRIORITIZE GENES"

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Дирда, Ірина Анатоліївна, Марина Вікторівна Малоіван, and Анна Олександрівна Томіліна. The peculiarities of headlines in English discourse through the examples from Daily Mail and the New Yorker. Видавнича група «Наукові перспективи», 2023. http://dx.doi.org/10.31812/123456789/7074.

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The paper in question outlines the main peculiarities of the phenomenon of headlines in terms of English discourse. Headlines are thought to be a critical component of journalism and media, as they shape initial readers’ impressions of a story serving as the first point of their contact. Using a corpus of headlines from various English-language publications (to be more precise, those of The Daily Mail and The New Yorker) the paper studies the linguistic features and strategies used in them. According to the conducted analysis it has been revealed that a range of linguistic devices, such as pun
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Tel-Zur, Neomi, and Jeffrey J. Doyle. Role of Polyploidy in Vine Cacti Speciation and Crop Domestication. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7697110.bard.

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1. Abstract: Over the past 25 years, vine cacti of the genera Hylocereus and Selenicereus have been introduced into Israel and southern California as new exotic fruit crops. The importance of these crops lies in their high water use efficiency and horticultural potential as exotic fruit crops. Our collaboration focused on the cytological, molecular and evolutionary aspects of vine cacti polyploidization to confront the agricultural challenge of genetic improvement, ultimately to improve success of vine cacti as commercial fruit crop plants. More specifically, we worked on the: 1- Identificatio
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