Review paper

Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug–Disease Associations

Cells5.10
Volume: 8, Issue: 7, Pages: 705 - 705
Published: Jul 11, 2019
Abstract
Identifying novel indications for approved drugs can accelerate drug development and reduce research costs. Most previous studies used shallow models for prioritizing the potential drug-related diseases and failed to deeply integrate the paths between drugs and diseases which may contain additional association information. A deep-learning-based method for predicting drug–disease associations by integrating useful information is needed. We...
Paper Details
Title
Convolutional Neural Network and Bidirectional Long Short-Term Memory-Based Method for Predicting Drug–Disease Associations
Published Date
Jul 11, 2019
Journal
Volume
8
Issue
7
Pages
705 - 705
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