Stable feature selection based on probability estimation in gene expression datasets-Reference-Cited by-同舟云学术

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Stable feature selection based on probability estimation in gene expression datasets

Published:2024-08 Issue: Volume:248 Page:123372
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ahmadi Melika,Mahmoodian Hamid^ORCID

Publisher

Elsevier BV

Reference39 articles.

1. An investigational modeling approach for improving gene selection using regularized cox regression model;Abdallh;Mathematical Biology,2023

2. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods;Abeel;Bioinformatics,2010

3. Alagukumar, S., & Kathirvalavakumar, T. (2022, July). Classifying microarray gene expression cancer data using statistical feature selection and machine learning methods. In Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 1 (pp. 63-77). Singapore: Springer Nature Singapore.

4. Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification;Algamal;Expert Systems with Applications,2015

5. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays;Alon;Proceedings of the National Academy of Sciences,1999

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