Identifying consistent disease subnetworks using DNet-Reference-Cited by-同舟云学术

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Identifying consistent disease subnetworks using DNet

Published:2017-12 Issue: Volume:131 Page:104-110
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Peng Jiajie,Lu Junya,Shang Xuequn,Chen Jin

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference45 articles.

1. Fish for 22q11. 2 deletion not cost-effective for infants with congenital heart disease with microarray;Geddes;Pediatr. Cardiol.,2015

2. Microarray analysis reveals marked intestinal microbiota aberrancy in infants having eczema compared to healthy children in at-risk for atopic disease;Nylund;BMC Microbiol.,2013

3. Predicting disease-related genes using integrated biomedical networks;Peng;BMC Genomics.,2016

4. Web-based gene set analysis toolkit (webgestalt): update 2013;Wang;Nucl. Acids Res.,2013

5. A novel method to measure the semantic similarity of hpo terms;Peng;Int. J. Data Min. Bioinf.,2017

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1. Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

2. Graph Embedding Based Novel Gene Discovery Associated With Diabetes Mellitus;Frontiers in Genetics;2021-11-25

3. A novel subnetwork representation learning method for uncovering disease-disease relationships;Methods;2021-08

4. An online tool for measuring and visualizing phenotype similarities using HPO;BMC Genomics;2018-08

5. Effective norm emergence in cell systems under limited communication;BMC Bioinformatics;2018-04

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