Computational Methods With Applications In Bioinformatics Analysis by Jeffrey J. P. Tsai and Ka-Lok
Requirements: Any PDF Reader, 4.3mb
Overview: 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.
Genre: Non-Fiction> Computer Science & Information Systems
Download Instructions:
http://corneey.com/wCr0H4
http://corneey.com/wCr0Jo
