Causal Gene Identification Using Non-linear Regression-based Independence Tests-Reference-Cited by-同舟云学术

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Causal Gene Identification Using Non-linear Regression-based Independence Tests

Published:2022 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:

Zhang Hao,Yan Chuanxu,Xia Yewei,Guan Jihong,Zhou Shuigeng

Funder

the Project of Young Innovative Talents in Colleges and Universities in Guangdong Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09709100.pdf?arnumber=9709100

Reference62 articles.

1. Learning Causal Structures Based on Divide and Conquer

2. Allelic loss of chromosomes 16q and 10q in human prostate cancer.

3. Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test

4. Reduced growth rate and transformation phenotype of the prostate cancer cells by an interferon-inducible protein, p202

5. Causal discovery on high dimensional data

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3. CDSC: Causal decomposition based on spectral clustering;Information Sciences;2024-02

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