A multi-objective optimization approach for the identification of cancer biomarkers from RNA-seq data

Author:

Coleto-Alcudia Veredas,Vega-Rodríguez Miguel A.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Feature selection using multi-objective optimization technique for supervised cancer classification;Agarwalla,2018

2. RNA-seq of tumor-educated platelets enables blood-based pan-cancer, multiclass, and molecular pathway cancer diagnostics;Best;Cancer Cell,2015

3. A survey on feature selection methods;Chandrashekar;Computers & Electrical Engineering,2014

4. LIBSVM: a library for support vector machines;Chang;ACM Transactions on Intelligent Systems and Technology,2011

5. Multi-class computational evolution: Development, benchmark evaluation and application to RNA-seq biomarker discovery;Crabtree;BioData Mining,2017

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