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Artykuły w czasopismach na temat "PRIORITIZE GENES"
Gong, Lejun, Ronggen Yang, Chun Zhang, Quan Liu, Huakang Lee i Geng Yang. "RE-RANKING FOR PRIORITIZATION OF DISEASE-RELATED GENES". Biomedical Engineering: Applications, Basis and Communications 28, nr 04 (sierpień 2016): 1650027. http://dx.doi.org/10.4015/s1016237216500277.
Pełny tekst źródłaZhang, Yi, Tao Wang, Yan Wang, Kun Xia, Jinchen Li i Zhongsheng Sun. "Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders". Molecular Neurobiology 58, nr 8 (15.04.2021): 3863–73. http://dx.doi.org/10.1007/s12035-021-02377-y.
Pełny tekst źródłaXin, Huang, Wang Changchen, Liu Lei, Yang Meirong, Zhang Ye i Pan Bo. "The Phenolyzer Suite: Prioritizing the Candidate Genes Involved in Microtia". Annals of Otology, Rhinology & Laryngology 128, nr 6 (2.04.2019): 556–62. http://dx.doi.org/10.1177/0003489419840052.
Pełny tekst źródłaTranchevent, L. C., F. B. Capdevila, D. Nitsch, B. De Moor, P. De Causmaecker i Y. Moreau. "A guide to web tools to prioritize candidate genes". Briefings in Bioinformatics 12, nr 1 (21.03.2010): 22–32. http://dx.doi.org/10.1093/bib/bbq007.
Pełny tekst źródłaRylander, Ragnar. "Genes and Agents: How to Prioritize to Prevent Disease". Archives of Environmental Health: An International Journal 50, nr 5 (październik 1995): 333–34. http://dx.doi.org/10.1080/00039896.1995.9935963.
Pełny tekst źródłaAsefa, Nigus G., Zoha Kamali, Satyajit Pereira, Ahmad Vaez, Nomdo Jansonius, Arthur A. Bergen i Harold Snieder. "Bioinformatic Prioritization and Functional Annotation of GWAS-Based Candidate Genes for Primary Open-Angle Glaucoma". Genes 13, nr 6 (13.06.2022): 1055. http://dx.doi.org/10.3390/genes13061055.
Pełny tekst źródłaCabrera-Andrade, Alejandro, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-y-Miño, Yunierkis Pérez-Castillo, Cristian R. Munteanu, Humbert González-Díaz, Alejandro Pazos i Eduardo Tejera. "Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis". International Journal of Molecular Sciences 21, nr 3 (5.02.2020): 1053. http://dx.doi.org/10.3390/ijms21031053.
Pełny tekst źródłaSomepalli, Gowthami, Sarthak Sahoo, Arashdeep Singh i Sridhar Hannenhalli. "Prioritizing and characterizing functionally relevant genes across human tissues". PLOS Computational Biology 17, nr 7 (16.07.2021): e1009194. http://dx.doi.org/10.1371/journal.pcbi.1009194.
Pełny tekst źródłaMahmood, Iqra, Asif Nadeem, Masroor Ellahi Babar, Muhammad Muddassir Ali, Maryam Javed, Aisha Siddiqa, Tanveer Hussain i Muhammad Tariq Pervez. "Systematic and Integrated Analysis Approach to Prioritize Mastitis Resistant Genes". Pakistan Journal of Zoology 49, nr 1 (2016): 101–6. http://dx.doi.org/10.17582/journal.pjz/2017.49.1.101.106.
Pełny tekst źródłaOliver, Karen L., Vesna Lukic, Natalie P. Thorne, Samuel F. Berkovic, Ingrid E. Scheffer i Melanie Bahlo. "Harnessing Gene Expression Networks to Prioritize Candidate Epileptic Encephalopathy Genes". PLoS ONE 9, nr 7 (9.07.2014): e102079. http://dx.doi.org/10.1371/journal.pone.0102079.
Pełny tekst źródłaRozprawy doktorskie na temat "PRIORITIZE GENES"
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.
Pełny tekst źródłaCHAHAL, 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.
Pełny tekst źródłaLin, Shu-Ju, i 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.
Pełny tekst źródła國立臺灣大學
流行病學與預防醫學研究所
107
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 prioritized list may help to find key genes. Currently, methods for screening genes associated with diseases are roughly classified into three types, such as the single marker tests, gene-set analysis methods, and pathway analysis, to provide candidate genes or candidate gene sets. Some statistical methods find disease-related genes from a single marker test, such as the T test or Chi-square test. However, due to the large number of biomarkers, scientists need to face the issue of multiple testing. Single marker test did not consider the relationship between genes. Genes do not work alone and need to work with other genes to affect a biological process. Therefore, rather than focusing on the effect of a single gene on biological processes, the effect of a group of genes should be considered. So there is a second type of method to find disease-related genes in a group of genes, such as the Gene Set Enrichment Analysis (GSEA), Over Representation Analysis (ORA), Globa test, and Fisher''s method. A pathway is a collection of genes containing biological meaning. The pathway represents a biological process carried out by a group of genes. The third method uses pathways to find related genes, such as Signaling Pathway Impact Analysis (SPIA). Currently, such methods do not consider simultaneously several competing pathways; they do not incorporate the relationship between pathways, nor account for the relationship between genes. This study will provide a novel method to overcome the limitations of current methods. This study not only considers the relationship between genes in the pathway but also considers the competition between several pathways and the relationship between pathways. Bayesian Approach to Prioritizing Pathway (BAPP), a novel method proposed under the above conditions, provides a list of ordered candidate pathways associated with the disease. The BAPP can further search for key genes in the primary pathway, and provide disease-related key genes. BAPP can be applied on the common pathway database, Kyoto Encyclopedia of Genes and Genomes (KEGG). Simulations show that BAPP performs well. Whether it is prioritizing candidate pathways or key genes, BAPP can control the type I error rate under 0.05. BAPP correctly ranks candidate pathways at a higher accuracy than other methods and can find true key genes. This novel method is applied to a breast cancer study and a glioblastoma multiforme study. In breast cancer data, BAPP identifies the primary pathway of breast cancer as the Jak-STAT signaling pathway, and further identifies 37 key genes in this pathway. The Taste transduction pathway that has not been reported to associate with breast cancer is ranked last by BAPP. In the glioblastoma multiforme study, BAPP identifies Long-term potentiation as the primary pathway, and from which four key genes are identified.
Książki na temat "PRIORITIZE GENES"
Schutte, Nienke M., Meike Bartels i Eco JC de Geus. Genetics of physical activity and physical fitness. Redaktorzy Neil Armstrong i Willem van Mechelen. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198757672.003.0020.
Pełny tekst źródłaRaykoff, Ivan. Liberace’s Musical/Material Appeal. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199935321.013.175.
Pełny tekst źródłaMiller, Timothy. This Machine Plays Country Music. Redaktor Travis D. Stimeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190248178.013.27.
Pełny tekst źródłaCzęści książek na temat "PRIORITIZE GENES"
Nicolás, Marisa Fabiana, Maiana de Oliveira Cerqueira e Costa, Pablo Ivan P. Ramos, Marcelo Trindade dos Santos, Ernesto Perez-Rueda, Marcelo A. Marti, Dario Fernandez Do Porto i Adrian G. Turjanski. "Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria". W Networks in Systems Biology, 217–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51862-2_10.
Pełny tekst źródłaDemneh, Sayedeh Razieh Abdollahi, Sama Goliaei i Zahra Razaghi Moghadam. "Associating Protein Interactions with Disease Comorbidity to Prioritize Colorectal Cancer Genes". W International Conference on Biomedical and Health Informatics, 91–95. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4505-9_15.
Pełny tekst źródłaKaimal, Vivek, Divya Sardana, Eric E. Bardes, Ranga Chandra Gudivada, Jing Chen i Anil G. Jegga. "Integrative Systems Biology Approaches to Identify and Prioritize Disease and Drug Candidate Genes". W Methods in Molecular Biology, 241–59. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-954-3_16.
Pełny tekst źródłaMilano, Marianna. "Using Gene Ontology to Annotate and Prioritize Microarray Data". W Methods in Molecular Biology, 273–87. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1839-4_18.
Pełny tekst źródłaMarshall, John M., i Ace R. North. "Modeling Priorities as Gene Drive Mosquito Projects Transition from Lab to Field". W Mosquito Gene Drives and the Malaria Eradication Agenda, 197–237. New York: Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003308775-10.
Pełny tekst źródłaRaychaudhuri, Soumya. "Text-Based Analysis of a Single Series of Gene Expression Measurements". W Computational Text Analysis. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780198567400.003.0012.
Pełny tekst źródłaHu, Hong, i Yang Dai. "Prioritize Transcription Factor Binding Sites for Multiple Co-Expressed Gene Sets Based on Lasso Multinomial Regression Models". W Biotechnology, 940–68. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch037.
Pełny tekst źródłaLoreta Paun, Diana, i Alexandra Mirica. "Pheochromocytomas and Paragangliomas: Genotype-Phenotype Correlations". W Pheochromocytoma, Paraganglioma and Neuroblastoma. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95888.
Pełny tekst źródłaAndrés de Pablo, Juan, Luis Javier Serrano, Mariano García-Arranz, Luis Romeu i Antonio Liras. "Gene and Cell Therapy in Dental Tissue Regeneration". W 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.
Pełny tekst źródłaAYDIN, İlhan. "ULUSAL SU ÜRÜNLERİ GEN BANKASI VE BİYOÇEŞİTLİLİĞE ETKİLERİ". W BİYOÇEŞİTLİLİK VE EKOSİSTEMLER. TÜRKİYE BİLİMLER AKADEMİSİ, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-58-0.ch08.
Pełny tekst źródłaStreszczenia konferencji na temat "PRIORITIZE GENES"
Wu, Mengmeng, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen i Rui Jiang. "Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes". W 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217651.
Pełny tekst źródłaJanyasupab, Panisa, Apichat Suratanee i Kitiporn Plaimas. "Heterogeneous data analysis of hypertrophic cardiomyopathy to prioritize important genes". W 2022 26th International Computer Science and Engineering Conference (ICSEC). IEEE, 2022. http://dx.doi.org/10.1109/icsec56337.2022.10049332.
Pełny tekst źródłaYepes, Sally, Margaret Tucker, Hela Koka, Kristine Jones, Aurelie Vogt, Laurie Burdette, Wen Luo i in. "Abstract 1638: Whole-exome sequencing and protein interaction networks to prioritize candidate genes for cutaneous melanoma susceptibility". W 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.
Pełny tekst źródłaJhee, Jong Ho, Min-Young Song, Byung Gon Kim, Hyunjung Shin i 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". W 2023 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2023. http://dx.doi.org/10.1109/bigcomp57234.2023.00033.
Pełny tekst źródłaWan, Cen. "Positive Feature Values Prioritized Hierarchical Dependency Constrained Averaged One-dependence Estimators for Gene Ontology Feature Spaces". W 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9995482.
Pełny tekst źródłaHasanova, Aytakin. "PREDICTIVE GENETIC SCREENING". W 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.
Pełny tekst źródłaRaporty organizacyjne na temat "PRIORITIZE GENES"
Дирда, Ірина Анатоліївна, Марина Вікторівна Малоіван i Анна Олександрівна Томіліна. The peculiarities of headlines in English discourse through the examples from Daily Mail and the New Yorker. Видавнича група «Наукові перспективи», maj 2023. http://dx.doi.org/10.31812/123456789/7074.
Pełny tekst źródłaTel-Zur, Neomi, i Jeffrey J. Doyle. Role of Polyploidy in Vine Cacti Speciation and Crop Domestication. United States Department of Agriculture, styczeń 2012. http://dx.doi.org/10.32747/2012.7697110.bard.
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