Similarity-Boosted Hybrid Conditional Restricted Boltzmann Machine (SB H-CRBM) for Drug-Target Interaction Prediction

Thesis

KOUTOU, Wend-Nougui Odilon

Masters, 國立清華大學, 資訊系統與應用研究所

2017

Abstract

藥物與標的之交互作用

玻爾茲曼機

深度學習

drug-target interaction prediction

Restricted Boltzmann Machines

Hybrid

Similarity-Boosted

Weighted Profile Method

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Title: Similarity-Boosted Hybrid Conditional Restricted Boltzmann Machine (SB H-CRBM) for Drug-Target Interaction Prediction
Translated title: Similarity-Boosted Hybrid Conditional Restricted Boltzmann Machine (SB H-CRBM) for Drug-Target Interaction Prediction
Creators: KOUTOU, Wend-Nougui Odilon
Contributors: Soo, Von-Wun (Advisor)
Awarding Institution: 國立清華大學, 資訊系統與應用研究所; Masters
Theses and Dissertations: Masters, 國立清華大學, 資訊系統與應用研究所
Language: English
Resource Type: Thesis
Date published: 2018