𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Knowledge Discovery in Bioinformatics || Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines

✍ Scribed by Hu, Xiaohua; Pan, Yi


Book ID
120311490
Publisher
John Wiley & Sons, Inc.
Year
2007
Tongue
English
Weight
505 KB
Edition
1
Category
Article
ISBN
047177796X

No coin nor oath required. For personal study only.

✦ Synopsis


The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.


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## Abstract The prediction of secondary structure is a fundamental and important component in the analytical study of protein structure and functions. How to improve the predictive accuracy of protein structural classification by effectively incorporating the sequence‐order effects is an important