{"id":"W2150756255","doi":"10.1186/1471-2105-10-106","title":"flowCore: a Bioconductor package for high throughput flow cytometry","year":2009,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":651,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; BC Cancer Agency","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Michael Smith Health Research BC","keywords":"Bioconductor; Computer science; Software; Data mining; Data management; Throughput; Automation; Data science; Data flow diagram; Software engineering; Database; Operating system; Engineering","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":[0.009944251,0.005066703,0.00469338,0.007108669,0.002088674,0.004143065,0.01181554,0.00324562,0.1129948],"category_scores_gemma":[0.02595481,0.003597338,0.004079209,0.006836625,0.001711126,0.004164215,0.00486376,0.007187481,0.09547021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915733,"about_ca_system_score_gemma":0.008328781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005573346,"about_ca_topic_score_gemma":0.004751917,"domain_scores_codex":[0.9950896,0.001166452,0.0007637521,0.001119183,0.001368463,0.0004926536],"domain_scores_gemma":[0.9879708,0.005770591,0.001129517,0.001763621,0.00271995,0.0006456875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001470839,0.0002124852,0.002210775,0.005021544,0.001010836,0.0004782933,0.0005183999,0.00591849,0.007778729,0.02579062,0.8569188,0.09267022],"study_design_scores_gemma":[0.00166365,0.0002348678,0.00637974,0.001094172,0.0007707739,0.0009370553,0.0001361168,0.1075584,0.02407325,0.1065874,0.7500752,0.000489366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.001950392,0.001073497,0.4836633,0.001023771,0.001047541,0.001071147,0.09247484,0.4096153,0.008080252],"genre_scores_gemma":[0.01922664,0.001491583,0.7120162,0.002140105,0.000467953,0.01282523,0.108418,0.1290256,0.01438874],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1129948,"threshold_uncertainty_score":0.3780052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186983869540404,"score_gpt":0.2510222181838827,"score_spread":0.2291523794884787,"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."}}