Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets from Gene Expression Profiles for Lung Adenocarcinoma-Reference-Cited by-同舟云学术

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Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets from Gene Expression Profiles for Lung Adenocarcinoma

Published:2021 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Majumder Subhasree,Pal Vipin,Thakran Yogita,Singh Kuldeep

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09580595.pdf?arnumber=9580595

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. A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma;Data Technologies and Applications;2023-05-19

2. Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data;Journal of Healthcare Engineering;2022-03-09

3. A basketball game prediction system based on artificial intelligence;The Journal of Supercomputing;2022-03-07

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