Network-based methods with heterogeneous data to identify severe COVID immune-related genes-Reference-Cited by-同舟云学术

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Network-based methods with heterogeneous data to identify severe COVID immune-related genes

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
language:
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Author:

Sagulkoo Pakorn¹,Suratanee Apichat²,Plaimas Kitiporn³

Affiliation:

1. Chiang Mai University,Center of Biomedical Informatics,Department of Family Medicine, Faculty of Medicine,Chiang Mai,Thailand,50200

2. King Mongkut’s University of Technology North Bangkok,Department of Mathematics, Faculty of Applied Science,Bangkok,Thailand,10800

3. Faculty of Science, Chulalongkorn University,Advance Virtual and Intelligent Computing Center,Department of Mathematics and Computer Science,Bangkok,Thailand,10330

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049313.pdf?arnumber=10049313

Reference21 articles.

1. diffuStats: an R package to compute diffusion-based scores on biological networks

2. Guilt-by-association goes global

3. WikiPathways: connecting communities;martens;Nucleic Acids Res,2021

4. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

5. Identification of proliferative diabetic retinopathy-associated genes on the protein–protein interaction network by using heat diffusion algorithm

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