{"id":"W2013359618","doi":"10.1002/pmic.201200526","title":"Coupling proteomics and transcriptomics in the quest of subtype‐specific proteins in breast cancer","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Breast cancer; Proteome; Proteomics; Biology; Transcriptome; Tissue microarray; In silico; Microarray analysis techniques; Cancer research; Cancer; Estrogen receptor; Microarray; Oncology; Computational biology; Bioinformatics; Gene expression; Medicine; Gene; Genetics","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":[0.0006506438,0.0002506609,0.0004932482,0.0009410828,0.0002161958,0.0006616397,0.0001881948,0.000314954,0.0003958813],"category_scores_gemma":[0.0005752685,0.0001611415,0.0002675938,0.00107176,0.0002081997,0.0005134698,0.0003399861,0.0003673874,0.0002653044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515568,"about_ca_system_score_gemma":0.000339019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007036283,"about_ca_topic_score_gemma":0.001382978,"domain_scores_codex":[0.9998016,0.00004960182,0.00001440928,0.00004934525,0.00006338654,0.00002168012],"domain_scores_gemma":[0.9998325,0.00005594064,0.0000409586,0.00002040902,0.00003122325,0.00001886617],"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":[0.0002123758,0.00002246792,0.01007098,0.0001881212,0.00003231815,0.0001035197,0.00005694808,0.0005064085,0.9748271,0.0002336845,0.0001092454,0.01363687],"study_design_scores_gemma":[0.00004105839,0.0004695734,0.4306957,0.00007641561,0.0002559993,0.0024092,0.000807982,0.02265667,0.5254665,0.005940147,0.01112357,0.00005726787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562152,0.01502684,0.02457529,0.00058653,0.00006567026,0.0000681501,0.002000153,0.0001177268,0.00134449],"genre_scores_gemma":[0.9451116,0.01180336,0.03923841,0.0004390206,0.00008415219,0.00009326505,0.002037905,0.00003194477,0.001160372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009410828,"threshold_uncertainty_score":0.003440976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285272245368969,"score_gpt":0.2519283513900035,"score_spread":0.2390756289363138,"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."}}