Classification of breast cancer patients using somatic mutation profiles and machine learning approaches

BMC Systems Biology

Volumn 10, Issue , 2016, Pages

  Vural, Suleyman ^a   Wang, Xiaosheng ^b   Guda, Chittibabu ^a,c  

^a UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

^b CHINA PHARMACEUTICAL UNIVERSITY   (China)

^c UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

Author keywords

Breast cancer classification; Breast cancer subtypes; Cancer stage prediction; Gene mutation profiles; TCGA; Unsupervised and supervised machine learning; Whole exome sequencing data analysis

Indexed keywords

BREAST TUMOR; CLUSTER ANALYSIS; GENETICS; GENOMICS; HUMAN; MACHINE LEARNING; MUTATION; PROCEDURES;

BREAST NEOPLASMS; CLUSTER ANALYSIS; GENOMICS; HUMANS; MACHINE LEARNING; MUTATION;

EID: 84983631327     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/s12918-016-0306-z     Document Type: Article

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