{"id":"W7018080135","doi":"","title":"Clustering Methods for Microarray Gene Expression Data Review","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Gene expression; Expression (computer science); Microarray databases; Microarray analysis techniques; Gene chip analysis; Microarray","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00311494,0.001231779,0.002086233,0.004552547,0.0006728073,0.001663408,0.00210695,0.00127584,0.005551036],"category_scores_gemma":[0.006144204,0.0006825094,0.00145836,0.01023138,0.0005665991,0.001315672,0.00072105,0.001504942,0.007438688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299863,"about_ca_system_score_gemma":0.001344883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002454371,"about_ca_topic_score_gemma":0.002165987,"domain_scores_codex":[0.9958984,0.001292077,0.0003770759,0.0007275909,0.001614851,0.00008997147],"domain_scores_gemma":[0.9972185,0.001132571,0.0001531816,0.0002990946,0.001141304,0.00005529782],"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":[0.00007504039,0.00004218354,0.0004308219,0.003117223,0.0002670548,0.0001550386,0.000121173,0.02412525,0.007367602,0.02814798,0.06288294,0.8732677],"study_design_scores_gemma":[0.00004472115,0.0001306426,0.003641943,0.0007756731,0.0002259414,0.001266152,0.0001597566,0.1543638,0.0121005,0.09309033,0.7339947,0.0002056965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0008257762,0.05938686,0.9304827,0.0009086966,0.001171344,0.0002388054,0.001199948,0.001583687,0.004202087],"genre_scores_gemma":[0.02276531,0.08938745,0.8654279,0.0007387212,0.002144498,0.001123792,0.006476082,0.0007681379,0.01116815],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005551036,"threshold_uncertainty_score":0.01857007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0484557035431952,"score_gpt":0.3746247078682672,"score_spread":0.326169004325072,"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."}}