Ensemble of rankers for efficient gene signature extraction in smoke exposure classification

Ensemble of rankers for efficient gene signature extraction in smoke exposure classification

Abstract Background System toxicology aims at understanding the mechanisms used by biological systems to respond to toxicants. Such understanding can be leveraged to assess the risk of chemicals, drugs, and consumer products in living organisms. In system toxicology, machine learning techniques and...

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Bibliographic Details
Main Authors: Maurizio Giordano, Kumar Parijat Tripathi, Mario Rosario Guarracino
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Toxicology
Gene signature
Smoking
Supervised learning
Feature selection
Online Access:http://link.springer.com/article/10.1186/s12859-018-2035-3

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http://link.springer.com/article/10.1186/s12859-018-2035-3

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