A drug repositioning algorithm based on a deep autoencoder and adaptive fusion

A drug repositioning algorithm based on a deep autoencoder and adaptive fusion

Background: Drug repositioning has caught the attention of scholars at home and abroad due to its effective reduction of the development cost and time of new drugs. However, existing drug repositioning methods that are based on computational analysis are limited by sparse data and classic fusion met...

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Bibliographic Details
Main Authors: Bao, T. (Author), Chen, P. (Author), Liu, Z. (Author), Yu, X. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
% reductions
Adaptive fusion
adverse drug reaction
algorithm
Algorithms
Alzheimer disease
Alzheimer Disease
Auto encoders
biology
Computational Biology
Data fusion
Deep autoencoder
Disease associations
drug repositioning
Drug repositioning
Drug Repositioning
Drug side-effects
Drug targets
Drug-Related Side Effects and Adverse Reactions
Fusion methods
human
Humans
Learning systems
Neurodegenerative diseases
Proteins
Structure (composition)
Target proteins
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