{"id":"W2163649997","doi":"10.1093/bioinformatics/btl080","title":"MACGT: multi-dimensional automated clustering genotyping tool for analysis of microarray-based mini-sequencing data","year":2006,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Heart and Stroke Foundation of British Columbia and Yukon; National Sanitarium Association; Heart and Stroke Foundation of Canada","keywords":"Genotyping; Cluster analysis; SNP; SNP genotyping; Computer science; DNA microarray; Single-nucleotide polymorphism; Computational biology; Genotype; SNP array; Data mining; Biology; Artificial intelligence; Genetics","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":[0.004546317,0.002406376,0.001800926,0.003946925,0.001111014,0.001815823,0.00327473,0.00131196,0.06787442],"category_scores_gemma":[0.0095178,0.001581666,0.001770834,0.00270694,0.0004600085,0.001599843,0.001852813,0.002124466,0.03595518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108358,"about_ca_system_score_gemma":0.001837408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268966,"about_ca_topic_score_gemma":0.004019971,"domain_scores_codex":[0.9975308,0.000454628,0.0002922353,0.0007603909,0.0007627896,0.0001991716],"domain_scores_gemma":[0.9957176,0.001816064,0.0006772228,0.0007697162,0.0007538477,0.0002656609],"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":[0.001471285,0.0001519081,0.004509558,0.0018237,0.0004091304,0.0004555177,0.0004297165,0.004922444,0.05643555,0.004065237,0.7997311,0.1255948],"study_design_scores_gemma":[0.001426876,0.0006019543,0.02731041,0.0006728026,0.0004093539,0.001984632,0.0002471503,0.1786755,0.1939634,0.02649427,0.5673696,0.0008440855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.006948662,0.00028074,0.4018928,0.0003069493,0.0003097776,0.0006182289,0.1552712,0.4313241,0.003047556],"genre_scores_gemma":[0.02500915,0.0002233198,0.6968625,0.0006402167,0.0001106339,0.003986951,0.2004306,0.06541336,0.007323169],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06787442,"threshold_uncertainty_score":0.2270625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04516803501496724,"score_gpt":0.3026467413629859,"score_spread":0.2574787063480187,"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."}}