Artículos de revistas sobre el tema "PRIORITIZE GENES"
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Gong, Lejun, Ronggen Yang, Chun Zhang, Quan Liu, Huakang Lee y Geng Yang. "RE-RANKING FOR PRIORITIZATION OF DISEASE-RELATED GENES". Biomedical Engineering: Applications, Basis and Communications 28, n.º 04 (agosto de 2016): 1650027. http://dx.doi.org/10.4015/s1016237216500277.
Texto completoZhang, Yi, Tao Wang, Yan Wang, Kun Xia, Jinchen Li y Zhongsheng Sun. "Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders". Molecular Neurobiology 58, n.º 8 (15 de abril de 2021): 3863–73. http://dx.doi.org/10.1007/s12035-021-02377-y.
Texto completoXin, Huang, Wang Changchen, Liu Lei, Yang Meirong, Zhang Ye y Pan Bo. "The Phenolyzer Suite: Prioritizing the Candidate Genes Involved in Microtia". Annals of Otology, Rhinology & Laryngology 128, n.º 6 (2 de abril de 2019): 556–62. http://dx.doi.org/10.1177/0003489419840052.
Texto completoTranchevent, L. C., F. B. Capdevila, D. Nitsch, B. De Moor, P. De Causmaecker y Y. Moreau. "A guide to web tools to prioritize candidate genes". Briefings in Bioinformatics 12, n.º 1 (21 de marzo de 2010): 22–32. http://dx.doi.org/10.1093/bib/bbq007.
Texto completoRylander, Ragnar. "Genes and Agents: How to Prioritize to Prevent Disease". Archives of Environmental Health: An International Journal 50, n.º 5 (octubre de 1995): 333–34. http://dx.doi.org/10.1080/00039896.1995.9935963.
Texto completoAsefa, Nigus G., Zoha Kamali, Satyajit Pereira, Ahmad Vaez, Nomdo Jansonius, Arthur A. Bergen y Harold Snieder. "Bioinformatic Prioritization and Functional Annotation of GWAS-Based Candidate Genes for Primary Open-Angle Glaucoma". Genes 13, n.º 6 (13 de junio de 2022): 1055. http://dx.doi.org/10.3390/genes13061055.
Texto completoCabrera-Andrade, Alejandro, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-y-Miño, Yunierkis Pérez-Castillo, Cristian R. Munteanu, Humbert González-Díaz, Alejandro Pazos y Eduardo Tejera. "Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis". International Journal of Molecular Sciences 21, n.º 3 (5 de febrero de 2020): 1053. http://dx.doi.org/10.3390/ijms21031053.
Texto completoSomepalli, Gowthami, Sarthak Sahoo, Arashdeep Singh y Sridhar Hannenhalli. "Prioritizing and characterizing functionally relevant genes across human tissues". PLOS Computational Biology 17, n.º 7 (16 de julio de 2021): e1009194. http://dx.doi.org/10.1371/journal.pcbi.1009194.
Texto completoMahmood, Iqra, Asif Nadeem, Masroor Ellahi Babar, Muhammad Muddassir Ali, Maryam Javed, Aisha Siddiqa, Tanveer Hussain y Muhammad Tariq Pervez. "Systematic and Integrated Analysis Approach to Prioritize Mastitis Resistant Genes". Pakistan Journal of Zoology 49, n.º 1 (2016): 101–6. http://dx.doi.org/10.17582/journal.pjz/2017.49.1.101.106.
Texto completoOliver, Karen L., Vesna Lukic, Natalie P. Thorne, Samuel F. Berkovic, Ingrid E. Scheffer y Melanie Bahlo. "Harnessing Gene Expression Networks to Prioritize Candidate Epileptic Encephalopathy Genes". PLoS ONE 9, n.º 7 (9 de julio de 2014): e102079. http://dx.doi.org/10.1371/journal.pone.0102079.
Texto completoJiang, Rui. "Walking on multiple disease-gene networks to prioritize candidate genes". Journal of Molecular Cell Biology 7, n.º 3 (13 de febrero de 2015): 214–30. http://dx.doi.org/10.1093/jmcb/mjv008.
Texto completoSu, Yongchun, Yunfei Li y Ping Ye. "Mammalian meiosis is more conserved by sex than by species: conserved co-expression networks of meiotic prophase". REPRODUCTION 142, n.º 5 (noviembre de 2011): 675–87. http://dx.doi.org/10.1530/rep-11-0260.
Texto completoPerales-Patón, Javier, Tomás Di Domenico, Coral Fustero-Torre, Elena Piñeiro-Yáñez, Carlos Carretero-Puche, Héctor Tejero, Alfonso Valencia, Gonzalo Gómez-López y Fátima Al-Shahrour. "vulcanSpot: a tool to prioritize therapeutic vulnerabilities in cancer". Bioinformatics 35, n.º 22 (7 de junio de 2019): 4846–48. http://dx.doi.org/10.1093/bioinformatics/btz465.
Texto completoKumar, Rupesh y Shazia Haider. "Protein network analysis to prioritize key genes in amyotrophic lateral sclerosis". IBRO Neuroscience Reports 12 (junio de 2022): 25–44. http://dx.doi.org/10.1016/j.ibneur.2021.12.002.
Texto completoVotava, James A. y Brian W. Parks. "Cross-species data integration to prioritize causal genes in lipid metabolism". Current Opinion in Lipidology 32, n.º 2 (5 de febrero de 2021): 141–46. http://dx.doi.org/10.1097/mol.0000000000000742.
Texto completoChen, Zefu, Yu Zheng, Yongxin Yang, Yingzhao Huang, Sen Zhao, Hengqiang Zhao, Chenxi Yu et al. "PhenoApt leverages clinical expertise to prioritize candidate genes via machine learning". American Journal of Human Genetics 109, n.º 2 (febrero de 2022): 270–81. http://dx.doi.org/10.1016/j.ajhg.2021.12.008.
Texto completoSchaefer, Robert J., Jean-Michel Michno, Joseph Jeffers, Owen Hoekenga, Brian Dilkes, Ivan Baxter y Chad L. Myers. "Integrating Coexpression Networks with GWAS to Prioritize Causal Genes in Maize". Plant Cell 30, n.º 12 (9 de noviembre de 2018): 2922–42. http://dx.doi.org/10.1105/tpc.18.00299.
Texto completoLin, Fan, Jue Fan y Seung Y. Rhee. "QTG-Finder: A Machine-Learning Based Algorithm To Prioritize Causal Genes of Quantitative Trait Loci in Arabidopsis and Rice". G3: Genes|Genomes|Genetics 9, n.º 10 (29 de julio de 2019): 3129–38. http://dx.doi.org/10.1534/g3.119.400319.
Texto completoO'Mara, Tracy A., Kaltin Ferguson, Paul Fahey, Louise Marquart, Hannah P. Yang, Jolanta Lissowska, Stephen Chanock et al. "CHEK2, MGMT, SULT1E1 and SULT1A1 Polymorphisms and Endometrial Cancer Risk". Twin Research and Human Genetics 14, n.º 4 (1 de agosto de 2011): 328–32. http://dx.doi.org/10.1375/twin.14.4.328.
Texto completoSuratanee, Apichat, Chidchanok Chokrathok, Panita Chutimanukul, Nopphawitchayaphong Khrueasan, Teerapong Buaboocha, Supachitra Chadchawan y Kitiporn Plaimas. "Two-State Co-Expression Network Analysis to Identify Genes Related to Salt Tolerance in Thai rice". Genes 9, n.º 12 (29 de noviembre de 2018): 594. http://dx.doi.org/10.3390/genes9120594.
Texto completoRazaghi-Moghadam, Zahra, Razieh Abdollahi, Sama Goliaei y Morteza Ebrahimi. "HybridRanker: Integrating network topology and biomedical knowledge to prioritize cancer candidate genes". Journal of Biomedical Informatics 64 (diciembre de 2016): 139–46. http://dx.doi.org/10.1016/j.jbi.2016.10.003.
Texto completoZazuli, Zulfan, Lalu Muhammad Irham, Wirawan Adikusuma y Nur Melani Sari. "Identification of Potential Treatments for Acute Lymphoblastic Leukemia through Integrated Genomic Network Analysis". Pharmaceuticals 15, n.º 12 (14 de diciembre de 2022): 1562. http://dx.doi.org/10.3390/ph15121562.
Texto completoFadaka, Adewale Oluwaseun, Ashwil Klein y Ashley Pretorius. "In silico identification of microRNAs as candidate colorectal cancer biomarkers". Tumor Biology 41, n.º 11 (noviembre de 2019): 101042831988372. http://dx.doi.org/10.1177/1010428319883721.
Texto completoSrivastava, Neha, Bhartendu Nath Mishra y Prachi Srivastava. "Protein Network Analysis to Prioritize Key Genes and Pathway for Stress-Mediated Neurodegeneration". Open Bioinformatics Journal 11, n.º 1 (18 de octubre de 2018): 240–51. http://dx.doi.org/10.2174/1875036201811010240.
Texto completoZhang, Tiejun y Di Zhang. "Integrating omics data and protein interaction networks to prioritize driver genes in cancer". Oncotarget 8, n.º 35 (22 de julio de 2017): 58050–60. http://dx.doi.org/10.18632/oncotarget.19481.
Texto completoWu, Mengmeng, Wanwen Zeng, Wenqiang Liu, Hairong Lv, Ting Chen y Rui Jiang. "Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning". Methods 145 (agosto de 2018): 41–50. http://dx.doi.org/10.1016/j.ymeth.2018.06.002.
Texto completoHimmelstein, Daniel S. y Sergio E. Baranzini. "Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes". PLOS Computational Biology 11, n.º 7 (9 de julio de 2015): e1004259. http://dx.doi.org/10.1371/journal.pcbi.1004259.
Texto completoLin, Fan, Elena Z. Lazarus y Seung Y. Rhee. "QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants". G3: Genes|Genomes|Genetics 10, n.º 7 (19 de mayo de 2020): 2411–21. http://dx.doi.org/10.1534/g3.120.401122.
Texto completoChang, Ji-Wei, Yuduan Ding, Muhammad Tahir ul Qamar, Yin Shen, Junxiang Gao y Ling-Ling Chen. "A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations". Carcinogenesis 40, n.º 5 (4 de abril de 2019): 624–32. http://dx.doi.org/10.1093/carcin/bgz044.
Texto completoHartanto, Margi, Ronny V. L. Joosen, Basten L. Snoek, Leo A. J. Willems, Mark G. Sterken, Dick de Ridder, Henk W. M. Hilhorst, Wilco Ligterink y Harm Nijveen. "Network Analysis Prioritizes DEWAX and ICE1 as the Candidate Genes for Major eQTL Hotspots in Seed Germination of Arabidopsis thaliana". G3: Genes|Genomes|Genetics 10, n.º 11 (22 de septiembre de 2020): 4215–26. http://dx.doi.org/10.1534/g3.120.401477.
Texto completoMcGuirl, Melissa R., Samuel Pattillo Smith, Björn Sandstede y Sohini Ramachandran. "Detecting Shared Genetic Architecture Among Multiple Phenotypes by Hierarchical Clustering of Gene-Level Association Statistics". Genetics 215, n.º 2 (3 de abril de 2020): 511–29. http://dx.doi.org/10.1534/genetics.120.303096.
Texto completoBonnot, Titouan y Dawn H. Nagel. "Time of the day prioritizes the pool of translating mRNAs in response to heat stress". Plant Cell 33, n.º 7 (19 de abril de 2021): 2164–82. http://dx.doi.org/10.1093/plcell/koab113.
Texto completoRazzaghdoust, Abolfazl, Shahabedin Rahmatizadeh, Bahram Mofid, Samad Muhammadnejad, Mahmoud Parvin, Peyman Mohammadi Torbati y Abbas Basiri. "Data-Driven Discovery of Molecular Targets for Antibody-Drug Conjugates in Cancer Treatment". BioMed Research International 2021 (2 de enero de 2021): 1–9. http://dx.doi.org/10.1155/2021/2670573.
Texto completoShi, Xingjie, Xiaoran Chai, Yi Yang, Qing Cheng, Yuling Jiao, Haoyue Chen, Jian Huang, Can Yang y Jin Liu. "A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies". Nucleic Acids Research 48, n.º 19 (26 de septiembre de 2020): e109-e109. http://dx.doi.org/10.1093/nar/gkaa767.
Texto completoAlexandre, Pâmela A., Nicholas J. Hudson, Sigrid A. Lehnert, Marina R. S. Fortes, Marina Naval-Sánchez, Loan T. Nguyen, Laercio R. Porto-Neto y Antonio Reverter. "Genome-Wide Co-Expression Distributions as a Metric to Prioritize Genes of Functional Importance". Genes 11, n.º 10 (20 de octubre de 2020): 1231. http://dx.doi.org/10.3390/genes11101231.
Texto completoZhang, Wangshu, Fengzhu Sun y Rui Jiang. "Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach". BMC Bioinformatics 12, Suppl 1 (2011): S11. http://dx.doi.org/10.1186/1471-2105-12-s1-s11.
Texto completoLiu, Yining, Jingchun Sun y Min Zhao. "Literature-based knowledgebase of pancreatic cancer gene to prioritize the key genes and pathways". Journal of Genetics and Genomics 43, n.º 9 (septiembre de 2016): 569–71. http://dx.doi.org/10.1016/j.jgg.2016.04.006.
Texto completoZheng, Chunlei y Rong Xu. "The Alzheimer’s comorbidity phenome: mining from a large patient database and phenome-driven genetics prediction". JAMIA Open 2, n.º 1 (19 de diciembre de 2018): 131–38. http://dx.doi.org/10.1093/jamiaopen/ooy050.
Texto completoKanduri, Chakravarthi y Irma Järvelä. "GenRank: a R/Bioconductor package for prioritization of candidate genes". F1000Research 6 (11 de abril de 2017): 463. http://dx.doi.org/10.12688/f1000research.11223.1.
Texto completoNing, Kaida, Kyle Gettler, Wei Zhang, Sok Meng Ng, B. Monica Bowen, Jeffrey Hyams, Michael C. Stephens et al. "Improved integrative framework combining association data with gene expression features to prioritize Crohn's disease genes". Human Molecular Genetics 24, n.º 14 (1 de mayo de 2015): 4147–57. http://dx.doi.org/10.1093/hmg/ddv142.
Texto completoThibodeau, Asa y Dong-Guk Shin. "TriPOINT: a software tool to prioritize important genes in pathways and their non-coding regulators". Bioinformatics 35, n.º 15 (19 de diciembre de 2018): 2686–89. http://dx.doi.org/10.1093/bioinformatics/bty998.
Texto completoAlmeida-Silva, Fabricio y Thiago M. Venancio. "cageminer: an R/Bioconductor package to prioritize candidate genes by integrating GWAS and gene coexpression networks". in silico Plants, 24 de agosto de 2022. http://dx.doi.org/10.1093/insilicoplants/diac018.
Texto completoRuan, Peifeng y Shuang Wang. "DiSNEP: a Disease-Specific gene Network Enhancement to improve Prioritizing candidate disease genes". Briefings in Bioinformatics, 16 de octubre de 2020. http://dx.doi.org/10.1093/bib/bbaa241.
Texto completoXu, Zhuoran, Luigi Marchionni y Shuang Wang. "MultiNEP: a Multi-omics Network Enhancement framework for Prioritizing disease genes and metabolites simultaneously". Bioinformatics, 22 de mayo de 2023. http://dx.doi.org/10.1093/bioinformatics/btad333.
Texto completoChen, Yong, Xuebing Wu y Rui Jiang. "Integrating human omics data to prioritize candidate genes". BMC Medical Genomics 6, n.º 1 (diciembre de 2013). http://dx.doi.org/10.1186/1755-8794-6-57.
Texto completoHao, Ke, Raili Ermel, Katyayani Sukhavasi, Haoxiang Cheng, Lijiang Ma, Ling Li, Letizia Amadori et al. "Integrative Prioritization of Causal Genes for Coronary Artery Disease". Circulation: Genomic and Precision Medicine 15, n.º 1 (febrero de 2022). http://dx.doi.org/10.1161/circgen.121.003365.
Texto completoDutta, Tithi, Sayantan Mitra, Arpan Saha, Kausik Ganguly, Tushar Pyne y Mainak Sengupta. "A comprehensive meta-analysis and prioritization study to identify vitiligo associated coding and non-coding SNV candidates using web-based bioinformatics tools". Scientific Reports 12, n.º 1 (25 de agosto de 2022). http://dx.doi.org/10.1038/s41598-022-18766-9.
Texto completoBuonaiuto, Silvia, Immacolata Di Biase, Valentina Aleotti, Amin Ravaei, Adriano De Marino, Gianluca Damaggio, Marco Chierici et al. "Prioritization of putatively detrimental variants in euploid miscarriages". Scientific Reports 12, n.º 1 (7 de febrero de 2022). http://dx.doi.org/10.1038/s41598-022-05737-3.
Texto completoYepes, Sally, Margaret A. Tucker, Hela Koka, Yanzi Xiao, Kristine Jones, Aurelie Vogt, Laurie Burdette et al. "Using whole-exome sequencing and protein interaction networks to prioritize candidate genes for germline cutaneous melanoma susceptibility". Scientific Reports 10, n.º 1 (14 de octubre de 2020). http://dx.doi.org/10.1038/s41598-020-74293-5.
Texto completoHoffmann, Markus, Nico Trummer, Leon Schwartz, Jakub Jankowski, Hye Kyung Lee, Lina-Liv Willruth, Olga Lazareva et al. "TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors". GigaScience 12 (28 de diciembre de 2022). http://dx.doi.org/10.1093/gigascience/giad026.
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