{"id":"W4316673147","doi":"10.1002/ggn2.202200024","title":"Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq","year":2023,"lang":"en","type":"review","venue":"Advanced Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"National Institute on Aging; British Heart Foundation","keywords":"Transcriptome; Computational biology; Biology; RNA-Seq; RNA; Gene; DNA microarray; Deep sequencing; Long non-coding RNA; Genome; Genetics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002561261,0.001247605,0.001755166,0.003120031,0.0004383762,0.00272478,0.001549974,0.002282533,0.00542427],"category_scores_gemma":[0.002379097,0.000382441,0.000968486,0.002835426,0.002041502,0.003713112,0.001727469,0.006073773,0.004852711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659038,"about_ca_system_score_gemma":0.00263853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121913,"about_ca_topic_score_gemma":0.001575874,"domain_scores_codex":[0.999312,0.0002092297,0.00007853164,0.0001121427,0.0002350656,0.00005305807],"domain_scores_gemma":[0.9979697,0.001235691,0.0001012371,0.0001187705,0.0004077375,0.0001668712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006669438,0.000047371,0.0001378245,0.007522722,0.00009591736,0.0001683669,0.00009957698,0.0003704159,0.001852292,0.02812817,0.07942082,0.8820898],"study_design_scores_gemma":[0.000008045522,0.00003653057,0.0002464482,0.002350584,0.00003442041,0.0004834632,0.00004973638,0.0001032995,0.0002558043,0.01064156,0.9857718,0.00001827596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005914248,0.9917085,0.001212471,0.003230843,0.001571744,0.000009322774,0.00003381562,0.00004304087,0.002131105],"genre_scores_gemma":[0.000512936,0.9938215,0.001106832,0.001896421,0.001193112,0.00001792231,0.00005372729,0.00001259927,0.001384932],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00542427,"threshold_uncertainty_score":0.01814598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3445716322034054,"score_gpt":0.5628769272925059,"score_spread":0.2183052950891005,"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."}}