RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network-Reference-Cited by-同舟云学术

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RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network

Published:2023-09 Issue: Volume:141 Page:109626
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Yifei,Wang Xue,Chen Cheng,Gao Hongli,Salhi Adil,Gao Xin,Yu Bin

Funder

National Natural Science Foundation of China

King Abdullah University of Science and Technology

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference78 articles.

1. RNA-binding proteins in amyotrophic lateral sclerosis;Zhao;Mol. Cells.,2018

2. NSECDA: natural semantic enhancement for circRNA-disease association prediction;Wang;IEEE J. Biomed. Health Inform.,2022

3. A deep learning framework to predict binding preference of RNA constituents on protein surface;Lam;Nat. Commun.,2019

4. Predicting RNA-protein interactions using only sequence information;Muppirala;BMC Bioinform.,2011

5. LPGNMF: predicting long non-coding RNA and protein interaction using graph regularized nonnegative matrix factorization;Zhang;IEEE/ACM Trans. Comput. Biol. Bioinform.,2020

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