Machine Learning in Bioinformatics

Foreword.
Preface.
Contributors.
1 Feature Selection for Genomic and Proteomic Data Mining(Sun-Yuan Kung and Man-Wai Mak).
2 Comparing and Visualizing Gene Selection and ClassificationMethods for Microarray Data (Rajiv S. Menjoge and Roy E.Welsch).
3 Adaptive Kernel Classifiers Via Matrix Decomposition Updatingfor Biological Data Analysis (Hyunsoo Kim and HaesunPark).
4 Bootstrapping Consistency Method for Optimal Gene Selectionfrom Microarray Gene Expression Data for Classification Problems(Shaoning Pang, Ilkka Havukkala, Yingjie Hu, and NikolaKasabov).
5 Fuzzy Gene Mining: A Fuzzy-Based Framework for CancerMicroarray Data Analysis (Zhenyu Wang and VasilePalade).
6 Feature Selection for Ensemble Learning and Its Application(Guo-Zheng Li and Jack Y. Yang).
7 Sequence-Based Prediction of Residue-Level Properties inProteins (Shandar Ahmad, Yemlembam Hemjit Singh, Marcos J.Araúzo-Bravo, and Akinori Sarai).
8 Consensus Approaches to Protein Structure Prediction(Dongbo Bu, ShuaiCheng Li, Xin Gao, Libo Yu, Jinbo Xu, and MingLi).
9 Kernel Methods in Protein Structure Prediction(Jayavardhana Gubbi, Alistair Shilton, and MarimuthuPalaniswami).
10 Evolutionary Granular Kernel Trees for Protein SubcellularLocation Prediction (Bo Jin and Yan-Qing Zhang).
11 Probabilistic Models for Long-Range Features in Biosequences(Li Liao).
12 Neighborhood Profile Search for Motif Refinement (ChandanK. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang).
13 Markov/Neural Model for Eukaryotic Promoter Recognition(Jagath C. Rajapakse and Sy Loi Ho).
14 Eukaryotic Promoter Detection Based on Word and SequenceFeature Selection and Combination (Xudong Xie, Shuanhu Wu, andHong Yan).
15 Feature Characterization and Testing of BidirectionalPromoters in the Human Genome--Significance and Applicationsin Human Genome Research (Mary Q. Yang, David C. King, and LauraL. Elnitski).
16 Supervised Learning Methods for MicroRNA Studies(Byoung-Tak Zhang and Jin-Wu Nam).
17 Machine Learning for Computational Haplotype Analysis(Phil H. Lee and Hagit Shatkay).
18 Machine Learning Applications in SNP-DiseaseAssociation Study (Pritam Chanda, Aidong Zhang, and MuraliRamanathan).
19 Nanopore Cheminformatics-Based Studies of IndividualMolecular Interactions (Stephen Winters-Hilt).
20 An Information Fusion Framework for Biomedical Informatics(Srivatsava R. Ganta, Anand Narasimhamurthy, Jyotsna Kasturi,and Raj Acharya).
Index.