Features Reweighting and Selection in ligand-based Virtual Screening for Molecular Similarity Searching Based on Deep Belief Networks

DOI10.1142/S2424922X20500096OpenAlexW3107069930MaRDI QIDQ5066679

Idris Rabiu, Hentabli Hamza, Naomie Salim, Maged Nasser, Faisal Saeed

Publication date: 29 March 2022

Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s2424922x20500096

zbMATH Keywords

feature selectiondeep learningvirtual screeningdeep belief networks

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• darch
• ImageNet
• AlexNet

Cites Work

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• Selection of relevant features and examples in machine learning
• Markov fields and log-linear interaction models for contingency tables
• Principal component analysis: a review and recent developments
• Reducing the Dimensionality of Data with Neural Networks
• Training Products of Experts by Minimizing Contrastive Divergence
• Learning Deep Architectures for AI
• Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
• Deep Belief Networks Are Compact Universal Approximators
• Computational Methods of Feature Selection
• A Fast Learning Algorithm for Deep Belief Nets

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