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Additional file 3: of On Predicting lung cancer subtypes using ‘omic’ data from tumor and tumor-adjacent histologically-normal tissue

Year: 2016

Type: dataset

Abstract: Formatted TCGA dataset used in this study, along with sample IDs for classification task TAHNADC vs.TumorADC in DNA methylation. (CSV 41150 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.c.3596906_d2

Authors: Pineda, Arturo López, Ogoe, Henry, Jeya Balasubramanian, Escareño, Claudia Rangel, Visweswaran, Shyam, Herman, James, Vanathi Gopalakrishnan

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394552406

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