Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform

Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform

Background: Querying drug-induced gene expression profiles with machine learning method is an effective way for revealing drug mechanism of actions (MOAs), which is strongly supported by the growth of large scale and high-throughput gene expression databases. However, due to the lack of code-free an...

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Bibliographic Details
Main Authors: Gao, S. (Author), Han, L. (Author), Liu, G. (Author), Luo, D. (Author), Shan, G. (Author), Xiao, Z. (Author), Zhang, Y. (Author), Zhou, W. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
artificial intelligence
Artificial Intelligence
biology
Birds
Collaborative tools
Computational Biology
Cross-validation tests
Databases, Genetic
Deep learning
drug
Forecasting
Gene expression
Gene expression profiles
Gene set enrichment analysis
genetic database
genetics
L1000
Learning approach
Learning systems
Machine learning methods
Mechanism of action
MOA
Model performance
Pharmaceutical Preparations
pharmacology
Pharmacology
Predictive analytics
software
Software
transcriptome
Transcriptome
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