Identifying driver genes in cancer based on Pareto optimality consensus-Reference-Cited by-同舟云学术

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Identifying driver genes in cancer based on Pareto optimality consensus

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Deng Zheng¹,Wu Jingli²,Chen Xiaorong³,Li Gaoshi²

Affiliation:

1. Guangxi Normal University,College of Computer Science Information Technology,Guilin,China

2. Guangxi Normal University,Guangxi Key Lab of Multi-source Information Mining & Security,Guilin,China

3. Wuzhou University,Guangxi Key Laboratory of Machine Vision Intelligent Control,Wuzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995113.pdf?arnumber=9995113

Reference24 articles.

1. Probabilistic prediction and ranking of human protein-protein interactions

2. Focus on Cdc42 in Breast Cancer: New Insights, Target Therapy Development and Non-Coding RNAs

3. miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database

4. Sp1 expression regulates lung tumor progression

5. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

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