A novel parallel feature rank aggregation algorithm for gene selection applied to microarray data classification-Reference-Cited by-同舟云学术

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A novel parallel feature rank aggregation algorithm for gene selection applied to microarray data classification

Published:2024-10 Issue: Volume:112 Page:108182
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Longkumer Imtisenla^ORCID,Mazumder Dilwar Hussain^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. Feature selection methods on gene expression microarray data for cancer classification: a systematic review;Alhenawi;Comput. Biol. Med.,2022

2. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays;Alon;Proc. Natl. Acad. Sci.,1999

3. A review of microarray datasets: where to find them and specific characteristics;Alonso-Betanzos;Microarray Bioinform.,2019

4. Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets;Alrefai;Neural Comput. Appl.,2022

5. Aslam, J.A., Montague, M., 2001. Models for metasearch. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 276–284.

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