Biclustering‐based association rule mining approach for predicting cancer‐associated protein interactions-Reference-Cited by-同舟云学术

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Biclustering‐based association rule mining approach for predicting cancer‐associated protein interactions

Published:2019-08-02 Issue:5 Volume:13 Page:234-242
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET syst. biol.

Author:

Dey Lopamudra¹,Mukhopadhyay Anirban²

Affiliation:

1. Department of Computer Science and EngineeringHeritage Institute of Technology994 MadurdahaKolkata700 107West BengalIndia

2. Department of Computer Science and EngineeringUniversity of KalyaniNadiaKalyani741235West BengalIndia

Funder

Department of Science and Technology, Government of West Bengal

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-syb.2019.0045

Reference49 articles.

1. A Bayesian networks approach for predicting protein‐protein interactions from genomic data;Jansen R.;Science,2003

2. Kernel methods for predicting protein–protein interactions;Ben‐Hur A.;Bioinformatics,2005

3. Structure‐based prediction of protein‐protein interactions on a genome‐wide scale;Zhang Q.C.;Nature,2012

4. The cancer genome atlas (tcga): an immeasurable source of knowledge;Tomczak K.;Contemp. Oncol.,2015

5. International cancer genome consortium data portal—a one‐stop shop for cancer genomics data;Zhang J.;Database,2011

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