MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature-Reference-Cited by-同舟云学术

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MOASL: Predicting drug mechanism of actions through similarity learning with transcriptomic signature

Published:2024-02 Issue: Volume:169 Page:107853
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Jiang Likun,Qu Susu,Yu Zhengqiu,Wang Jianmin^ORCID,Liu Xiangrong

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference40 articles.

1. Applications of Connectivity Map in drug discovery and development;Qu;Drug Discov. Today,2012

2. DeepTTA: a transformer-based model for predicting cancer drug response;Jiang;Briefings Bioinf.,2022

3. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease;Lamb;Science,2006

4. A next generation connectivity map: L1000 platform and the first 1,000,000 profiles;Subramanian;Cell,2017

5. Systematic evaluation of drug-disease relationships to identify leads for novel drug uses;Chiang;Clin. Pharmacol. Therapeut.,2009

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1. Identify compound-protein interaction with knowledge graph embedding of perturbation transcriptomics;2024-04-12

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