{"id":"W2301160122","doi":"10.1016/j.dib.2016.03.022","title":"Glycomic and sialoproteomic data of gastric carcinoma cells overexpressing ST3GAL4","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fuel Cell Technologies Program; VILLUM Center for Bioanalytical Sciences; Seventh Framework Programme; Syddansk Universitet; Faculty of Science and Engineering, University of Manchester; Villum Fonden; Vetenskapsrådet; Natural Sciences and Engineering Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; IngaBritt och Arne Lundbergs Forskningsstiftelse; China National Funds for Distinguished Young Scientists; European Regional Development Fund; European Commission; Fundação para a Ciência e a Tecnologia; Natur og Univers, Det Frie Forskningsråd","keywords":"Glycome; Glycan; Gastric carcinoma; Receptor tyrosine kinase; Glycomics; Transfection; Tyrosine kinase; Identification (biology); Cancer research; Carcinoma; Cancer; Chemistry; Computational biology; Biology; Molecular biology; Gene; Receptor; Biochemistry; Genetics; Glycoprotein","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":[0.00009735379,0.0002709275,0.0002119314,0.0003168623,0.000122058,0.0001418227,0.0000741839,0.0001474455,0.0004219088],"category_scores_gemma":[0.00009430232,0.00005981926,0.0001534958,0.0003470458,0.0001128538,0.0001179416,0.000161649,0.0002325314,0.0001531997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061678,"about_ca_system_score_gemma":0.00009460955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006177462,"about_ca_topic_score_gemma":0.0005822923,"domain_scores_codex":[0.9999361,0.00000897836,0.000005909288,0.000009838669,0.00002588016,0.00001327052],"domain_scores_gemma":[0.999962,0.000006905746,0.00000632082,0.000005027689,0.00001012789,0.000009685027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008705773,0.000004504917,0.0003920403,0.00001064408,0.000003422849,0.00003586638,0.0000126626,0.00002436232,0.998902,0.00001373656,0.00001174034,0.0005019899],"study_design_scores_gemma":[0.000009428764,0.0002531153,0.06750651,0.000004399078,0.0000474367,0.000702449,0.0001045307,0.001770147,0.9279299,0.00008534145,0.001572288,0.00001446782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9957914,0.000391877,0.001656959,0.00003481071,0.000008187637,0.00001616622,0.001430763,0.0000231406,0.0006465632],"genre_scores_gemma":[0.9872277,0.001061153,0.006084583,0.00005738366,0.000008275498,0.0000572201,0.003798314,0.00001651195,0.00168893],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0006177462,"threshold_uncertainty_score":0.001411438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524603112927561,"score_gpt":0.303374130157576,"score_spread":0.2581280990283004,"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."}}