MM-CCNB: Essential protein prediction using MAX-MIN strategies and compartment of common neighboring approach-Reference-Cited by-同舟云学术

MM-CCNB: Essential protein prediction using MAX-MIN strategies and compartment of common neighboring approach

Published:2023-01 Issue: Volume:228 Page:107247
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Payra Anjan Kumar,Saha Banani,Ghosh Anupam^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference63 articles.

1. Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development;De;J. Biomed. Inform.,2009

2. Selection of genes mediating certain cancers, using a neuro-fuzzy approach;Ghosh;Neurocomputing,2014

3. Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma;De;Aktuel. Aspekte Kernfusionsforsch., Informationstag.,2009

5. Machine learning approach to gene essentiality prediction: a review;Aromolaran;Brief Bioinform.,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Connecting the dots: Computational network analysis for disease insight and drug repurposing;Current Opinion in Structural Biology;2024-10

2. Essential proteins identification based on weak consensus model and neighborhood aggregation centrality;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. MEM‐FET: Essential protein prediction using membership feature and machine learning approach;Proteins: Structure, Function, and Bioinformatics;2023-08-28