ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction

ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction

Abstract Background Feature selection or scoring methods for the detection of biomarkers are essential in bioinformatics. Various feature selection methods have been developed for the detection of biomarkers, and several studies have employed information-theoretic approaches. However, most of these...

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Bibliographic Details
Main Authors: Sehee Wang, Hyun-Hwan Jeong, Kyung-Ah Sohn
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Genomics
Subjects:
Feature selection
Feature scoring
Mutual information (MI)
Breast cancer
Dimension reduction
Low-dimensional embedding
Online Access:http://link.springer.com/article/10.1186/s12920-019-0512-9

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http://link.springer.com/article/10.1186/s12920-019-0512-9

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