Science Score: 44.0%

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    Low similarity (4.0%) to scientific vocabulary
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  • Host: GitHub
  • Owner: mbagherian
  • Language: MATLAB
  • Default Branch: master
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Created over 6 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Citation

README.md

Paper: Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions

Authors: Maryam Bagherian, Renaid B. Kim, Cheng Jiang, Maureen A. Sartor, Harm Derksen, Kayvan Najarian

Journal: Briefings in Bioinformatics

Publication Year: 2021

Volume: 22

Issue: 2

Pages: 2161-2171

Summary

This paper introduces coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions. It provides insights into the use of computational methods for drug discovery and target identification.

How to Cite

If you find this paper helpful in your research, please consider citing it:

Bagherian, M., Kim, R.B., Jiang, C., Sartor, M.A., Derksen, H., Najarian, K. (2021). Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions. Briefings in Bioinformatics, 22(2), 2161-2171.

Bagherian, Maryam, Kayvan Najarian, and Harm Derksen. "Coupled matrix-matrix and coupled tensor-matrix completion methods for predicting drug-target interactions." U.S. Patent Application 17/204,836, filed August 4, 2022.

Owner

  • Login: mbagherian
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Bagherian"
  given-names: "Maryam"
  orcid: "https://orcid.org/0000-0002-6923-154X"
- family-names: "Kim"
  given-names: "Renaid B."
- family-names: "Sartor,"
  given-names: "Maureen A."
- family-names: "Derksen,"
  given-names: " Harm"
- family-names: "Najarian,"
  given-names: " Kayvan"
title: "Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions"
doi: 10.1093/bib/bbaa025
Date: "2021"
journal: "Briefings in bioinformatics 22, no. 2 (2021): 2161-2171"
url: "https://academic.oup.com/bib/article/22/2/2161/5809565"

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