Weighted deep factorizing heterogeneous molecular network for genome-phenome association prediction-Reference-Cited by-同舟云学术

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Weighted deep factorizing heterogeneous molecular network for genome-phenome association prediction

Published:2022-09 Issue: Volume:205 Page:18-28
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Tan Haojiang,Qiu Sichao,Wang Jun,Yu Guoxian,Guo Wei,Guo Maozu

Funder

Fundamental Research Fund of Shandong University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference50 articles.

1. Plant bioinformatics: from genome to phenome;Edwards;Trends Biotechnol.,2004

2. Unravelling the human genome–phenome relationship using phenome-wide association studies;Bush;Nat. Rev. Genet.,2016

3. Genomics-assisted breeding for crop improvement;Varshney;Trends Plant Sci.,2005

4. Evolution of genome–phenome diversity under environmental stress;Nevo;Proc. Nat. Acad. Sci.,2001

5. Walking the interactome for prioritization of candidate disease genes;Köhler;Am. J. Hum. Genet.,2008

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1. HetFCM: functional co-module discovery by heterogeneous network co-clustering;Nucleic Acids Research;2023-12-13

2. Deep Learning in Bioinformatics and Biomedicine;Methods;2023-01

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