Academic literature on the topic 'PRIORITIZE GENES'
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Journal articles on the topic "PRIORITIZE GENES"
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 (August 2016): 1650027. http://dx.doi.org/10.4015/s1016237216500277.
Full textZhang, 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 (April 15, 2021): 3863–73. http://dx.doi.org/10.1007/s12035-021-02377-y.
Full textXin, 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 (April 2, 2019): 556–62. http://dx.doi.org/10.1177/0003489419840052.
Full textTranchevent, 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 (March 21, 2010): 22–32. http://dx.doi.org/10.1093/bib/bbq007.
Full textRylander, Ragnar. "Genes and Agents: How to Prioritize to Prevent Disease." Archives of Environmental Health: An International Journal 50, no. 5 (October 1995): 333–34. http://dx.doi.org/10.1080/00039896.1995.9935963.
Full textAsefa, Nigus G., Zoha Kamali, Satyajit Pereira, Ahmad Vaez, Nomdo Jansonius, Arthur A. Bergen, and Harold Snieder. "Bioinformatic Prioritization and Functional Annotation of GWAS-Based Candidate Genes for Primary Open-Angle Glaucoma." Genes 13, no. 6 (June 13, 2022): 1055. http://dx.doi.org/10.3390/genes13061055.
Full textCabrera-Andrade, Alejandro, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-y-Miño, Yunierkis Pérez-Castillo, Cristian R. Munteanu, Humbert González-Díaz, Alejandro Pazos, and Eduardo Tejera. "Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis." International Journal of Molecular Sciences 21, no. 3 (February 5, 2020): 1053. http://dx.doi.org/10.3390/ijms21031053.
Full textSomepalli, Gowthami, Sarthak Sahoo, Arashdeep Singh, and Sridhar Hannenhalli. "Prioritizing and characterizing functionally relevant genes across human tissues." PLOS Computational Biology 17, no. 7 (July 16, 2021): e1009194. http://dx.doi.org/10.1371/journal.pcbi.1009194.
Full textMahmood, Iqra, Asif Nadeem, Masroor Ellahi Babar, Muhammad Muddassir Ali, Maryam Javed, Aisha Siddiqa, Tanveer Hussain, and Muhammad Tariq Pervez. "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.
Full textOliver, 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 (July 9, 2014): e102079. http://dx.doi.org/10.1371/journal.pone.0102079.
Full textDissertations / Theses on the topic "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.
Full textCHAHAL, 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.
Full textLin, 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.
Full text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.
Books on the topic "PRIORITIZE GENES"
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.
Full textRaykoff, Ivan. Liberace’s Musical/Material Appeal. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199935321.013.175.
Full textMiller, 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.
Full textBook chapters on the topic "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, and Adrian G. Turjanski. "Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria." In Networks in Systems Biology, 217–76. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51862-2_10.
Full textDemneh, 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, 91–95. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4505-9_15.
Full textKaimal, 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, 241–59. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-954-3_16.
Full textMilano, Marianna. "Using Gene Ontology to Annotate and Prioritize Microarray Data." In Methods in Molecular Biology, 273–87. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1839-4_18.
Full textMarshall, 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, 197–237. New York: Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003308775-10.
Full textRaychaudhuri, 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.
Full textHu, Hong, and Yang Dai. "Prioritize Transcription Factor Binding Sites for Multiple Co-Expressed Gene Sets Based on Lasso Multinomial Regression Models." In Biotechnology, 940–68. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8903-7.ch037.
Full textLoreta 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.
Full textAndrés 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.
Full textAYDIN, 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.
Full textConference papers on the topic "PRIORITIZE GENES"
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.
Full textJanyasupab, 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.
Full textYepes, Sally, Margaret Tucker, Hela Koka, Kristine Jones, Aurelie Vogt, Laurie Burdette, Wen Luo, 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.
Full textJhee, 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.
Full textWan, 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.
Full textHasanova, 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.
Full textReports on the topic "PRIORITIZE GENES"
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», May 2023. http://dx.doi.org/10.31812/123456789/7074.
Full textTel-Zur, Neomi, and Jeffrey J. Doyle. Role of Polyploidy in Vine Cacti Speciation and Crop Domestication. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7697110.bard.
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