Machine learning in bioinformatics /
Zhang, Yan-Qing
Machine learning in bioinformatics / edited by Yan-Qing Zhang, Jagath C. Rajapakse. - Hoboken, N.J. : Wiley, c2009. - xviii, 456 p. : ill. ; 25 cm. - Wiley series on bioinformatics . - Wiley series on bioinformatics. .
Includes bibliographical references and index.
Feature selection for genomic and proteomic data mining / Comparing and visualizing gene selection and classification methods for microarray data / Adaptive kernel classifiers via matrix decomposition updating for biological data analysis / Bootstrapping consistency method for optimal gene selection from microarray gene expression data for classification problems / Fuzzy gene mining : a fuzzy-based framework for cancer microarray data analysis / Feature selection for ensemble learning and its application / Sequence-based prediction of residue-level properties in proteins / Consensus approaches to protein structure prediction / Kernel methods in protein structure prediction / Evolutionary granular kernel trees for protein subcellular location prediction / Probabilistic models for long-range features in biosequences / Neighborhood profile search for motif refinement / Markov/neural model for eukaryotic promoter recognition / Eukaryotic promoter detection based on word and sequence feature selection and combination / Feature characterization and testing of bidirectional promoters in the human genome-- significance and applications in human genome research / Supervised learning methods for the microRNA studies / Machine learning for computational haplotype analysis / Machine learning applications in SNP-- disease association study / Information fusion framework for biomedical informatics / Sun-Yuan Kung and Man-Wai Mak -- Rajiv S. Menjoge and Roy E. Welsch -- Hyunsoo Kim and Haesun Park -- Shaoning Pang ... [et al.] -- Zhenyu Wang and Vasile Palade -- Guo-Zheng Li and Jack Y. Yang -- Shandar Ahmad ... [et al.] -- Dongbo Bu ... [et al.] -- Jayavardhana Gubbi, Alistair Shilton, and Marimuthu Palaniswami -- Bo Jin and Yan-Qing Zhang -- Li Liao -- Chandan K. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang -- Jagath C. Rajapakse and Sy Loi Ho -- Xudong Xie, Shuanhu Wu, and Hong Yan -- Mary Q. Yang, David C. King, and Laura L. Elnitski -- Byoung-Tak Zhang and Jin-Wu Nam -- Phil H. Lee and Hagit Shatkay -- Pritam Chanda, Aidong Zhang, and Murali Ramanathan -- Nanopore cheminformatics-based studies of individual molecular interactions / Stephen Winters-Hilt -- Srivatsava R. Ganta ... [et al.].
2008017095
bnb
Jagath C. Rajapakse.
Bioinformatics.
Machine learning.
Artificial Intelligence.
Computational Biology.
Medical Informatics.
QH324.2 / .Z46 2008
572.80285 MAC
Machine learning in bioinformatics / edited by Yan-Qing Zhang, Jagath C. Rajapakse. - Hoboken, N.J. : Wiley, c2009. - xviii, 456 p. : ill. ; 25 cm. - Wiley series on bioinformatics . - Wiley series on bioinformatics. .
Includes bibliographical references and index.
Feature selection for genomic and proteomic data mining / Comparing and visualizing gene selection and classification methods for microarray data / Adaptive kernel classifiers via matrix decomposition updating for biological data analysis / Bootstrapping consistency method for optimal gene selection from microarray gene expression data for classification problems / Fuzzy gene mining : a fuzzy-based framework for cancer microarray data analysis / Feature selection for ensemble learning and its application / Sequence-based prediction of residue-level properties in proteins / Consensus approaches to protein structure prediction / Kernel methods in protein structure prediction / Evolutionary granular kernel trees for protein subcellular location prediction / Probabilistic models for long-range features in biosequences / Neighborhood profile search for motif refinement / Markov/neural model for eukaryotic promoter recognition / Eukaryotic promoter detection based on word and sequence feature selection and combination / Feature characterization and testing of bidirectional promoters in the human genome-- significance and applications in human genome research / Supervised learning methods for the microRNA studies / Machine learning for computational haplotype analysis / Machine learning applications in SNP-- disease association study / Information fusion framework for biomedical informatics / Sun-Yuan Kung and Man-Wai Mak -- Rajiv S. Menjoge and Roy E. Welsch -- Hyunsoo Kim and Haesun Park -- Shaoning Pang ... [et al.] -- Zhenyu Wang and Vasile Palade -- Guo-Zheng Li and Jack Y. Yang -- Shandar Ahmad ... [et al.] -- Dongbo Bu ... [et al.] -- Jayavardhana Gubbi, Alistair Shilton, and Marimuthu Palaniswami -- Bo Jin and Yan-Qing Zhang -- Li Liao -- Chandan K. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang -- Jagath C. Rajapakse and Sy Loi Ho -- Xudong Xie, Shuanhu Wu, and Hong Yan -- Mary Q. Yang, David C. King, and Laura L. Elnitski -- Byoung-Tak Zhang and Jin-Wu Nam -- Phil H. Lee and Hagit Shatkay -- Pritam Chanda, Aidong Zhang, and Murali Ramanathan -- Nanopore cheminformatics-based studies of individual molecular interactions / Stephen Winters-Hilt -- Srivatsava R. Ganta ... [et al.].
2008017095
bnb
Jagath C. Rajapakse.
Bioinformatics.
Machine learning.
Artificial Intelligence.
Computational Biology.
Medical Informatics.
QH324.2 / .Z46 2008
572.80285 MAC