Complex Disease Genes Identification Using a Heterogeneous Network Embedding Approach-Reference-Cited by-同舟云学术

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Complex Disease Genes Identification Using a Heterogeneous Network Embedding Approach

Published:2023-03-01 Issue:2 Volume:20 Page:875-882
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:

Ghasemi Mahdieh¹^ORCID,Rahgozar Maseud¹^ORCID,Kavousi Kaveh²^ORCID

Affiliation:

1. CIPCE, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

2. Laboratory of Complex Biological Systems and Bioinformatics (CBB), Bioinformatics Department, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10091711/09779461.pdf?arnumber=9779461

Reference35 articles.

1. The Comparative Toxicogenomics Database: update 2019

2. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

3. HerGePred: Heterogeneous Network Embedding Representation for Disease Gene Prediction

4. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool

5. KEGG: new perspectives on genomes, pathways, diseases and drugs

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1. Tissue specific tumor-gene link prediction through sampling based GNN using a heterogeneous network;Medical & Biological Engineering & Computing;2024-04-18

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