{"id":"W1566831845","doi":"10.1038/nprot.2015.052","title":"NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data","year":2015,"lang":"en","type":"article","venue":"Nature Protocols","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1015,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Visualization; Data visualization; Data mining; Visual analytics; Metadata; Graph drawing; Context (archaeology); Web application; Information retrieval; Bioinformatics; Biology; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006947407,0.002660186,0.002398667,0.003997946,0.001049401,0.002757975,0.00313263,0.0008511234,0.0324551],"category_scores_gemma":[0.01119323,0.001684533,0.002210496,0.003106562,0.0007916428,0.002313443,0.002510317,0.005214874,0.009197725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102062,"about_ca_system_score_gemma":0.003113232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810322,"about_ca_topic_score_gemma":0.006348296,"domain_scores_codex":[0.9969466,0.001071902,0.000301609,0.0006836075,0.0007911894,0.0002051288],"domain_scores_gemma":[0.9932289,0.004177456,0.0005208228,0.00142492,0.0004195418,0.00022828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002516406,0.000771653,0.01195394,0.00956271,0.005650592,0.001058728,0.001983427,0.04593716,0.1032013,0.0913291,0.4118505,0.3141845],"study_design_scores_gemma":[0.0006280383,0.0003946529,0.0141124,0.0008493537,0.001340883,0.001024313,0.0002819803,0.3669274,0.08307055,0.1307969,0.400124,0.0004494552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005483825,0.0007941262,0.6949244,0.0004687946,0.0004303682,0.0006098802,0.07504667,0.2187048,0.003537216],"genre_scores_gemma":[0.04153495,0.0010209,0.8574624,0.0004302062,0.0001605313,0.004405918,0.06329895,0.02489119,0.006794872],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0324551,"threshold_uncertainty_score":0.1085732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07714031460892924,"score_gpt":0.3876758930110881,"score_spread":0.3105355784021588,"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."}}