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016 7 a| 0146223492| Uk;

020 a| 9780470116623 (cloth);

020 a| 0470116625 (cloth);

035 a| (WaSeSS)ssj0000195100;

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050 00 a| QH324.2b| .Z46 2008;

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245 00 a| Machine learning in bioinformaticsh| [electronic resource] /c| edited by Yan-Qing Zhang, Jagath C. Rajapakse.;

260 a| Hoboken, N.J. :b| Wiley,;

300 a| xviii, 456 p. :b| ill. ;c| 25 cm.;

490 1 a| Wiley series on bioinformatics;

504 a| Includes bibliographical references and index.;

505 00 t| Feature selection for genomic and proteomic data mining /r| Sun-Yuan Kung and Man-Wai Mak --t| Comparing and visualizing gene selection and classification methods for microarray data /r| Rajiv S. Menjoge and Roy E. Welsch --t| Adaptive kernel classifiers via matrix decomposition updating for biological data analysis /r| Hyunsoo Kim and Haesun Park --t| Bootstrapping consistency method for optimal gene selection from microarray gene expression data for classification problems /r| Shaoning Pang ... [et al.] --t| Fuzzy gene mining : a fuzzy-based framework for cancer microarray data analysis /r| Zhenyu Wang and Vasile Palade --t| Feature selection for ensemble learning and its application /r| Guo-Zheng Li and Jack Y. Yang --t| Sequence-based prediction of residue-level properties in proteins /r| Shandar Ahmad ... [et al.] --t| Consensus approaches to protein structure prediction /r| Dongbo Bu ... [et al.] --t| Kernel methods in protein structure prediction /r| Jayavardhana Gubbi, Alistair Shilton, and Marimuthu Palaniswami --t| Evolutionary granular kernel trees for protein subcellular location prediction /r| Bo Jin and Yan-Qing Zhang --t| Probabilistic models for long-range features in biosequences /r| Li Liao --t| Neighborhood profile search for motif refinement /r| Chandan K. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang --t| Markov/neural model for eukaryotic promoter recognition /r| Jagath C. Rajapakse and Sy Loi Ho --t| Eukaryotic promoter detection based on word and sequence feature selection and combination /r| Xudong Xie, Shuanhu Wu, and Hong Yan --t| Feature characterization and testing of bidirectional promoters in the human genome-- significance and applications in human genome research /r| Mary Q. Yang, David C. King, and Laura L. Elnitski --t| Supervised learning methods for the microRNA studies /r| Byoung-Tak Zhang and Jin-Wu Nam --t| Machine learning for computational haplotype analysis /r| Phil H. Lee and Hagit Shatkay --t| Machine learning applications in SNP-- disease association study /r| Pritam Chanda, Aidong Zhang, and Murali Ramanathan -- Nanopore cheminformatics-based studies of individual molecular interactions /r| Stephen Winters-Hilt --t| Information fusion framework for biomedical informatics /r| Srivatsava R. Ganta ... [et al.].;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Bioinformatics.=| ^A493304;

650 0 a| Machine learning.=| ^A145211;

650 12 a| Artificial Intelligence.=| ^A923131;

650 12 a| Computational Biology.=| ^A933275;

650 22 a| Medical Informatics.=| ^A924691;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Zhang, Yan-Qing.=| ^A792483;

700 1 a| Rajapakse, Jagath Chandana.=| ^A792484;

830 0 a| Wiley series on bioinformatics.=| ^A771498;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=427638;

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Machine learning in bioinformatics / edited by Yan-Qing Zhang, Jagath C. Rajapakse.

Other author	Zhang, Yan-Qing.
Other author	Rajapakse, Jagath Chandana.
Format	Electronic
Publication Info	Hoboken, N.J. : Wiley,
Description	xviii, 456 p. : ill. ; 25 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Bioinformatics. Machine learning. Artificial Intelligence. Computational Biology. Medical Informatics.

Series	Wiley series on bioinformatics Wiley series on bioinformatics. ^A771498
Contents	Feature selection for genomic and proteomic data mining / Sun-Yuan Kung and Man-Wai Mak -- Comparing and visualizing gene selection and classification methods for microarray data / Rajiv S. Menjoge and Roy E. Welsch -- Adaptive kernel classifiers via matrix decomposition updating for biological data analysis / Hyunsoo Kim and Haesun Park -- Bootstrapping consistency method for optimal gene selection from microarray gene expression data for classification problems / Shaoning Pang ... [et al.] -- Fuzzy gene mining : a fuzzy-based framework for cancer microarray data analysis / Zhenyu Wang and Vasile Palade -- Feature selection for ensemble learning and its application / Guo-Zheng Li and Jack Y. Yang -- Sequence-based prediction of residue-level properties in proteins / Shandar Ahmad ... [et al.] -- Consensus approaches to protein structure prediction / Dongbo Bu ... [et al.] -- Kernel methods in protein structure prediction / Jayavardhana Gubbi, Alistair Shilton, and Marimuthu Palaniswami -- Evolutionary granular kernel trees for protein subcellular location prediction / Bo Jin and Yan-Qing Zhang -- Probabilistic models for long-range features in biosequences / Li Liao -- Neighborhood profile search for motif refinement / Chandan K. Reddy, Yao-Chung Weng, and Hsiao-Dong Chiang -- Markov/neural model for eukaryotic promoter recognition / Jagath C. Rajapakse and Sy Loi Ho -- Eukaryotic promoter detection based on word and sequence feature selection and combination / Xudong Xie, Shuanhu Wu, and Hong Yan -- Feature characterization and testing of bidirectional promoters in the human genome-- significance and applications in human genome research / Mary Q. Yang, David C. King, and Laura L. Elnitski -- Supervised learning methods for the microRNA studies / Byoung-Tak Zhang and Jin-Wu Nam -- Machine learning for computational haplotype analysis / Phil H. Lee and Hagit Shatkay -- Machine learning applications in SNP-- disease association study / Pritam Chanda, Aidong Zhang, and Murali Ramanathan -- Nanopore cheminformatics-based studies of individual molecular interactions / Stephen Winters-Hilt -- Information fusion framework for biomedical informatics / Srivatsava R. Ganta ... [et al.].
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2008017095
ISBN	9780470116623 (cloth)
ISBN	0470116625 (cloth)

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Machine learning in bioinformatics / edited by Yan-Qing Zhang, Jagath C. Rajapakse.

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