Multiplatform biomarker identification using a data-driven approach enables single-sample classification

Multiplatform biomarker identification using a data-driven approach enables single-sample classification

Abstract Background High-throughput gene expression profiles have allowed discovery of potential biomarkers enabling early diagnosis, prognosis and developing individualized treatment. However, it remains a challenge to identify a set of reliable and reproducible biomarkers across various gene expre...

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Bibliographic Details
Main Authors: Ling Zhang, Ishwor Thapa, Christian Haas, Dhundy Bastola
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Bioinformatics
Subjects:
Biomarkers
Single-sample
Classification
Cancer
RNA-Seq
Microarray
Online Access:http://link.springer.com/article/10.1186/s12859-019-3140-7

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http://link.springer.com/article/10.1186/s12859-019-3140-7

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