shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning-Reference-Cited by-同舟云学术

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shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning

Published:2024-02 Issue:2 Volume:5 Page:100894
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Wang Li-Ju,Ning Michael,Nayak Tapsya,Kasper Michael J.,Monga Satdarshan P.,Huang Yufei,Chen Yidong,Chiu Yu-Chiao^ORCID

Funder

Cancer Prevention and Research Institute of Texas

Leukemia Research Foundation

University of Pittsburgh

Fund for Innovation in Cancer Informatics

National Institutes of Health

Pittsburgh Liver Research Center, University of Pittsburgh

Office of the Director

Publisher

Elsevier BV

Reference40 articles.

1. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

2. The Cancer Genome Atlas Pan-Cancer analysis project;Weinstein;Nat. Genet.,2013

3. A Landscape of Pharmacogenomic Interactions in Cancer;Iorio;Cell,2016

4. A community effort to assess and improve drug sensitivity prediction algorithms;Costello;Nat. Biotechnol.,2014

5. Predicting drug response of tumors from integrated genomic profiles by deep neural networks;Chiu;BMC Med. Genom.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Repurposing therapy of ibrexafungerp vulvovaginal candidiasis drugs as cancer therapeutics;Frontiers in Pharmacology;2024-06-27

2. Advanced AI Applications for Drug Discovery;Advances in Medical Technologies and Clinical Practice;2024-06-07

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