Candidate gene prioritization for non-communicable diseases based on functional information: Case studies-Reference-Cited by-同舟云学术

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Candidate gene prioritization for non-communicable diseases based on functional information: Case studies

Published:2019-05 Issue: Volume:93 Page:103155
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Li Wan,Zhang Yihua,He Yuehan,Wang Yahui,Guo Shanshan,Zhao Xilei,Feng Yuyan,Song Zhaona,Zou Yuqing,He Weiming,Chen Lina^ORCID

Funder

National Natural Science Foundation of China

Health and Family Planning Commission Scientific Research Subject of Heilongjiang Province

Provincial Universities in Heilongjiang Province

Innovative Scientific Research Funding Project of Harbin Medical University

Scientific Research Initiation

University Student Innovation and Entrepreneurship Training Program in Heilongjiang Province

Harbin Applied Technology Research and Development Project

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference51 articles.

1. ToppGene suite for gene list enrichment analysis and candidate gene prioritization;Chen;Nucleic Acids Res.,2009

2. HybridRanker: integrating network topology and biomedical knowledge to prioritize cancer candidate genes;Razaghi-Moghadam;J. Biomed. Inform.,2016

3. FUN-L: gene prioritization for RNAi screens;Lees;Bioinformatics,2015

4. ProSim: a method for prioritizing disease genes based on protein proximity and disease similarity;Ganegoda;BioMed Res. Int.,2015

5. A network-based method using a random walk with restart algorithm and screening tests to identify novel genes associated with Meniere's disease;Li;PLoS One,2017

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1. Integrating Multi-omics Data into A Gated Graph Convolutional Networks for Identifying Cancer Driver Genes and Function Modules;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

2. AngClust: Angle Feature-Based Clustering for Short Time Series Gene Expression Profiles;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

3. A framework for identifying colorectal cancer genes in detected protein complexes;International Journal of Data Mining and Bioinformatics;2019

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