Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection

Abstract Background MicroRNAs (miRNAs) are noncoding RNA molecules heavily involved in human tumors, in which few of them circulating the human body. Finding a tumor-associated signature of miRNA, that is, the minimum miRNA entities to be measured for discriminating both different types of cancer an...

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Bibliographic Details
Main Authors: Alejandro Lopez-Rincon, Marlet Martinez-Archundia, Gustavo U. Martinez-Ruiz, Alexander Schoenhuth, Alberto Tonda
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Bioinformatics
Subjects:
MicroRNAs
miRNA
Feature selection
Machine learning
Classifiers
Dataset
Online Access:http://link.springer.com/article/10.1186/s12859-019-3050-8

Internet

http://link.springer.com/article/10.1186/s12859-019-3050-8

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