{"id":"W4287473947","doi":"10.17615/5hdb-rk67","title":"MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies","year":2021,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; National Cancer Institute; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Medical Research Council; National Institute of Environmental Health Sciences; Hjartavernd; Gillings School of Public Health; National Institutes of Health; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Centre hospitalier régional universitaire de Lille; Erasmus Medisch Centrum; Bundesministerium für Bildung und Forschung; U.S. Department of Defense; European Commission; New York Genome Center; Lieber Institute for Brain Development; University of California, San Francisco; Wellcome Trust; Cancer Research UK; Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer's disease; Yale University; Institut National de la Santé et de la Recherche Médicale; University of Chicago; National Institute on Aging; Alzheimer's Association","keywords":"Transcriptome; Computational biology; Omics; Computer science; Association (psychology); Biology; World Wide Web; Bioinformatics; Genetics; Psychology; Gene; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01889724,0.002879327,0.002654896,0.0039405,0.001544943,0.003946771,0.004386837,0.002073123,0.01191426],"category_scores_gemma":[0.0329668,0.001972426,0.005385153,0.004929088,0.001393566,0.002546598,0.005831357,0.004514436,0.005102362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009662501,"about_ca_system_score_gemma":0.002745604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136342,"about_ca_topic_score_gemma":0.003675876,"domain_scores_codex":[0.994,0.003908167,0.0003095241,0.0009092845,0.0007031588,0.0001699091],"domain_scores_gemma":[0.986169,0.009337625,0.0006564694,0.002858396,0.0006391014,0.0003394059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001396304,0.0003879463,0.01651139,0.003006376,0.006721871,0.001816566,0.001155473,0.1708486,0.02028325,0.1776285,0.07150875,0.5287351],"study_design_scores_gemma":[0.0002917221,0.0001633027,0.003338342,0.0002943393,0.00081968,0.0005088655,0.0001426486,0.4911751,0.007491982,0.4401595,0.05545811,0.0001564222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009840984,0.000390966,0.9895461,0.0003850001,0.00008314134,0.00007857871,0.002252967,0.005658385,0.0006206432],"genre_scores_gemma":[0.03371834,0.0008008421,0.9527281,0.0008019389,0.0001871173,0.001109456,0.006742307,0.002792533,0.00111927],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01889724,"threshold_uncertainty_score":0.09993935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409103370133894,"score_gpt":0.259483413694316,"score_spread":0.235392379992977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}