title: Big data mining yields novel insights on cancer.
abstract: Recent years have seen the rapid growth of large-scale biological data, but the effective mining and modeling of 'big data' for new biological discoveries remains a significant challenge. A new study reanalyzes expression profiles from the Gene Expression Omnibus to make novel discoveries about genes involved in DNA damage repair and genome instability in cancer.
authors: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts, USA.
authors: Peng
authors: P
authors: Jiang
authors: Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, Massachusetts, USA.
authors: X Shirley
authors: XS
authors: Liu
mesh_terms: D056915:DNA Copy Number Variations; D018628:Gene Dosage; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics*; D023281:Genomics; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D059467:Transcriptome