{"id":"W2160164696","doi":"10.1038/nmeth.1503","title":"Alternative expression analysis by RNA sequencing","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":314,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Biology; Alternative splicing; Exon; Intron; Computational biology; RNA splicing; RNA-Seq; RNA; Sanger sequencing; Massive parallel sequencing; DNA microarray; Transcriptome; DNA sequencing; Gene expression; Genetics; Gene","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":[0.002661751,0.002059194,0.001471364,0.001418667,0.00123254,0.001719649,0.001522278,0.001229258,0.004274679],"category_scores_gemma":[0.001974575,0.001199218,0.002319881,0.001094405,0.001603949,0.0008772906,0.001396694,0.005283524,0.003995114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007526726,"about_ca_system_score_gemma":0.001131035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004955374,"about_ca_topic_score_gemma":0.001549131,"domain_scores_codex":[0.9960608,0.0008388892,0.0003514506,0.001309514,0.001059129,0.0003801207],"domain_scores_gemma":[0.997937,0.0006866032,0.0001975887,0.0007039193,0.000373299,0.0001016391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001219283,0.00004489956,0.0001921922,0.0001577602,0.00004046581,0.00008102247,0.0001099427,0.0003758032,0.9856313,0.002960831,0.000587787,0.009695997],"study_design_scores_gemma":[0.000033723,0.0001320371,0.0008485432,0.00002463745,0.00009074809,0.0002313324,0.00003925612,0.007717893,0.9704269,0.002208759,0.01821338,0.00003283301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0458401,0.0004095821,0.9402887,0.0003185281,0.0003600018,0.0005010878,0.003636664,0.003695036,0.004950242],"genre_scores_gemma":[0.122706,0.001202184,0.8476846,0.000754681,0.0001475025,0.001957658,0.01127271,0.00335213,0.01092251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004274679,"threshold_uncertainty_score":0.01430017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168446721525045,"score_gpt":0.3798137378372237,"score_spread":0.3681292706219733,"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."}}