{"id":"W4200591407","doi":"10.3389/fimmu.2021.789317","title":"Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Frontiers in Immunology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gene; Computational biology; Transcriptome; Gene co-expression network; Biology; Gene regulatory network; ARDS; Gene expression; Genetics; Medicine; Lung; Gene ontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002520288,0.0002684317,0.0005470709,0.000137833,0.0002138242,0.00004063465,0.0003418161,0.0005932068,0.0001364097],"category_scores_gemma":[0.00004678161,0.0002626026,0.0003320405,0.0002636345,0.0001629899,0.000006616278,0.0001457321,0.0001892568,0.000003573153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006820649,"about_ca_system_score_gemma":0.0002110168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001076793,"about_ca_topic_score_gemma":0.00005492561,"domain_scores_codex":[0.9980418,0.000223411,0.0005240435,0.0005012817,0.0001041476,0.0006053151],"domain_scores_gemma":[0.9990553,0.00003040485,0.0002186122,0.0005147422,0.00007194099,0.0001090357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002790564,0.0003659302,0.03107847,0.0001275478,0.006619982,0.00004565454,0.0005917193,0.07887908,0.7608582,0.0003829825,0.04709693,0.0711629],"study_design_scores_gemma":[0.02234031,0.00241464,0.02773087,0.00009785491,0.003846541,0.0003764835,0.003071102,0.05129942,0.07004393,0.02614497,0.7883636,0.004270259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4698957,0.02243282,0.5051434,0.0001754608,0.00182518,0.0003643017,0.00008982532,0.00002448009,0.00004882682],"genre_scores_gemma":[0.9808128,0.004374884,0.008298247,0.0009927297,0.0005060456,0.0001004596,0.003899848,0.00003602356,0.0009788937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7412667,"threshold_uncertainty_score":0.9999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009587618041257576,"score_gpt":0.2556008186285899,"score_spread":0.2460132005873323,"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."}}