{"id":"W2094928744","doi":"10.1039/c1mb05071k","title":"Secretome profiling with antibody microarrays","year":2011,"lang":"en","type":"review","venue":"Molecular BioSystems","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; Canadian Institute for Theoretical Astrophysics","keywords":"Proteome; Computational biology; Proteomics; DNA microarray; Biology; Antibody microarray; Profiling (computer programming); Biomarker discovery; Protein Array Analysis; Biomarker; Protein microarray; Human proteome project; Human genome; Genome; Bioinformatics; Antibody; Gene expression; Computer science; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008282473,0.001009388,0.001416242,0.002641914,0.0001697303,0.0009442276,0.0009880216,0.0009061948,0.001193291],"category_scores_gemma":[0.0005693742,0.0003724354,0.0004842182,0.001566185,0.0002581924,0.001016634,0.0006144974,0.001129337,0.002481735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733801,"about_ca_system_score_gemma":0.0002711947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003580545,"about_ca_topic_score_gemma":0.0006908821,"domain_scores_codex":[0.9994791,0.00006579029,0.00002344989,0.0001014727,0.0002940561,0.00003607212],"domain_scores_gemma":[0.9997696,0.0000722126,0.00003184482,0.00001032061,0.0001007059,0.00001525676],"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":[0.0001330848,0.00008025884,0.0009517444,0.006131963,0.0001339908,0.0004047171,0.00008434655,0.000685986,0.2161424,0.003939232,0.01307561,0.7582367],"study_design_scores_gemma":[0.00003394465,0.0002357278,0.005235875,0.0009658186,0.0002106943,0.003545672,0.0001202928,0.002391473,0.2415039,0.003509988,0.7421439,0.0001027041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006817069,0.9490455,0.02986581,0.0008903954,0.0006172303,0.0001383951,0.0005304459,0.0003058074,0.01178949],"genre_scores_gemma":[0.02445733,0.9317049,0.03074756,0.001016151,0.0004845838,0.0002153212,0.000979232,0.00003064544,0.0103642],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002641914,"threshold_uncertainty_score":0.004380286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382696822690602,"score_gpt":0.3272728459010277,"score_spread":0.3034458776741217,"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."}}