One-class detection of cell states in tumor subtypes

Pacific Symposium on Biocomputing

Volumn , Issue , 2016, Pages 405-416

  Sokolov, Artem ^a   Paull, Evan O ^a   Stuart, Joshua M ^a  

^a University of California Santa Cruz   (United States)

Author keywords

Breast Cancer; Embryonic Stem Cells; One class models; Pan Cancer

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; DISEASES; HEALTH RISKS; MIXTURES; PATIENT TREATMENT; TUMORS;

BREAST CANCER; CELLULAR COMPOSITION; CLASS MODELS; CURRENT TREATMENTS; EMBRYONIC STEM CELLS; HETEROGENEOUS MIXTURES; LOGISTIC REGRESSIONS; PAN-CANCER;

STEM CELLS;

BIOLOGY; BLADDER TUMOR; BREAST TUMOR; CANCER STEM CELL; CLASSIFICATION; EMBRYONIC STEM CELL; FEMALE; GENE EXPRESSION PROFILING; GENETICS; HUMAN; NEOPLASM; PATHOLOGY; PERSONALIZED MEDICINE; PROCEDURES; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; SUPPORT VECTOR MACHINE;

BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; EMBRYONIC STEM CELLS; FEMALE; GENE EXPRESSION PROFILING; HUMANS; LOGISTIC MODELS; NEOPLASMS; NEOPLASTIC STEM CELLS; PRECISION MEDICINE; SUPPORT VECTOR MACHINE; URINARY BLADDER NEOPLASMS;

EID: 85012164042     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789814749411_0037     Document Type: Conference Paper

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