PR v1.0, A Deep Learning Approach for Feature Selection from Microarray Data-Reference-Cited by-同舟云学术

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PR v1.0, A Deep Learning Approach for Feature Selection from Microarray Data

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Victor Vishwas,Shukla Ragini

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference22 articles.

1. Recursive memetic algorithm for gene selection in microarray data;M Ghosh;Expert Systems with Applications,2019

2. Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme;W H Chan;Computers in biology and medicine,2016

3. Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction;N Pochet;Bioinformatics,2004

4. Multiclass cancer diagnosis using tumor gene expression signatures;C Angelo;Proceedings of the National Academy of Sciences,2001

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