Computational Methods With Applications In Bioinformatics Analysis

Jeffrey J P Tsai

ISBN 10: 9813207973 / ISBN 13: 9789813207974

Published by World Scientific Publishing Co Pte Ltd, SG, 2017

About this Item

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Seller Inventory # LU-9789813207974

Bibliographic Details

• Title: Computational Methods With Applications In Bioinformatics Analysis
• Publisher: World Scientific Publishing Co Pte Ltd, SG
• Publication Date: 2017
• Language: English
• ISBN 10: 9813207973
• ISBN 13: 9789813207974
• Binding: Hardback
• Condition: New

About this title

Synopsis

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.

The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.

The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Readership: Researchers, academics, professionals, advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.