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Clustering in bioinformatics and drug discovery

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概要 "This book presents an introduction to cluster analysis and algorithms in the context of drug discovery clustering applications. It provides the key to understanding applications in clustering large c...ombinatorial libraries (in the millions of compounds) for compound acquisition, HTS results, 3D lead hopping, gene expression for toxicity studies, and protein reaction data. Bringing together common and emerging methods, the text covers topics peculiar to drug discovery data, such as asymmetric measures and asymmetric clustering algorithms as well as clustering ambiguity and its relation to fuzzy clustering and overlapping clustering algorithms"--Provided by publisher.続きを見る
目次 (Publisher-supplied data) Introduction
Data
Clustering Forms
Partitional Algorithms
Cluster Sampling Algorithms - Hierarchical Algorithms
Hybrid Algorithms
Asymmetry
Ambiguity
Validation
Large Scale and Parallel Algorithms.
アクセス注記 Taylor & Francis eBooks DRM Free Collection トライアル中(2023/3/31まで利用可能) 【Trial】This title is available until March 31, 2023.
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本文を見る Taylor & Francis eBooks DRM Free Collection: 2011

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登録日 2023.01.20
更新日 2023.01.20