{"id":"W1943756471","doi":"10.1038/nm.3915","title":"Toward understanding and exploiting tumor heterogeneity","year":2015,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":769,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Rosetrees Trust; National Cancer Institute; National Institute for Health and Care Research; Cancer Research UK; Francis Crick Institute","keywords":"Tumor heterogeneity; Genetic heterogeneity; Perspective (graphical); Epigenetics; Precision medicine; Theme (computing); Data science; Engineering ethics; Computational biology; Biology; Computer science; Genetics; Cancer; Phenotype; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06055799054784175,"score_gpt":0.3030918968717587,"score_spread":0.2425339063239169,"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."}}