## 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
✦ 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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