{"id":"W4281290588","doi":"10.12688/f1000research.121829.1","title":"Integration of single-cell RNA-Seq and CyTOF data characterises heterogeneity of rare cell subpopulations","year":2022,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Medical Research Council; UK Research and Innovation; Wellcome","keywords":"Computational biology; NS3; Data integration; Biology; Transcriptome; Mass cytometry; Annotation; Computer science; Data mining; Bioinformatics; Genetics; Gene; Gene expression; Phenotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004857621,0.0002333936,0.0003602935,0.0001566525,0.00010045,0.00004319838,0.0009461513,0.0002935181,0.0001173927],"category_scores_gemma":[0.0001123973,0.0002418764,0.0001182084,0.0001206716,0.0002041665,0.000009616285,0.002283012,0.0004417142,0.000001083775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002850668,"about_ca_system_score_gemma":0.0002410583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426676,"about_ca_topic_score_gemma":0.0002475251,"domain_scores_codex":[0.9978825,0.0002654752,0.0005013006,0.0006842252,0.0004151809,0.0002513374],"domain_scores_gemma":[0.9979649,0.00004585016,0.0002659341,0.001380949,0.0002446287,0.00009780876],"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":[0.0001838094,0.0004043052,0.0102492,0.0005339615,0.00004328374,0.000002357881,0.0001129453,0.00009611218,0.9864584,0.000005839593,0.0004111931,0.001498597],"study_design_scores_gemma":[0.0004631362,0.0003925565,0.008114049,0.00005487221,0.0000487392,0.000002362397,0.0001316375,0.0007668368,0.9863816,0.00005175494,0.003347634,0.0002447711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992268,0.001874414,0.00125803,0.000064648,0.0002188862,0.0005084997,0.003026822,0.00001119734,0.0007694987],"genre_scores_gemma":[0.9862894,0.001218022,0.001157526,0.00001806042,0.0001273725,0.00003286483,0.01053061,0.00004854608,0.000577603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007503787,"threshold_uncertainty_score":0.9863434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249368235254756,"score_gpt":0.3357719401069856,"score_spread":0.21083511658151,"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."}}