Article

Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data

2017-06-02

Abstract excerpt

The multiple types of high throughput genomics data create a potential opportunity to identify driver pattern in ovarian cancer, which will acquire some novel and clinical biomarkers for appropriate diagnosis and treatment to cancer patients. However, it is a great challenging work to integrate omics data, including somatic mutations, Copy Number Variations (CNVs) and gene expression profiles, to distinguish inter...

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Literature Corpus work: 273bafdb-6985-5a2c-a15f-4ad9904c5763
DOI: 10.1101/145268

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