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The Resource Machine learning in bioinformatics, edited by Yan-Qing Zhang, Jagath C. Rajapakse, (electronic resource)

Machine learning in bioinformatics, edited by Yan-Qing Zhang, Jagath C. Rajapakse, (electronic resource)

Label
Machine learning in bioinformatics
Title
Machine learning in bioinformatics
Statement of responsibility
edited by Yan-Qing Zhang, Jagath C. Rajapakse
Contributor
Subject
Genre
Language
eng
Member of
Dewey number
572.80285/61
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Zhang, Yan-Qing
  • Rajapakse, Jagath Chandana
  • Wiley InterScience (Online service)
Series statement
Wiley series on bioinformatics
http://library.link/vocab/subjectName
  • Bioinformatics
  • Machine learning
Label
Machine learning in bioinformatics, edited by Yan-Qing Zhang, Jagath C. Rajapakse, (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • 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
  • Feature selection for genomic and proteomic data mining
  • 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
  • Sun-Yuan Kung and Man-Wai Mak
  • 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
  • Comparing and visualizing gene selection and classification methods for microarray data
  • Srivatsava R. Ganta ... [et al.]
  • 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.]
Control code
ocn352745595
Dimensions
unknown
Extent
1 online resource (xviii, 456 p.)
Form of item
online
Isbn
9780470397411
Isbn Type
(electronic bk.)
Lccn
2008017095
Note
Wiley
Other control number
10.1002/9780470397428
Other physical details
ill
Specific material designation
remote
System control number
(OCoLC)352745595
Label
Machine learning in bioinformatics, edited by Yan-Qing Zhang, Jagath C. Rajapakse, (electronic resource)
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • 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
  • Feature selection for genomic and proteomic data mining
  • 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
  • Sun-Yuan Kung and Man-Wai Mak
  • 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
  • Comparing and visualizing gene selection and classification methods for microarray data
  • Srivatsava R. Ganta ... [et al.]
  • 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.]
Control code
ocn352745595
Dimensions
unknown
Extent
1 online resource (xviii, 456 p.)
Form of item
online
Isbn
9780470397411
Isbn Type
(electronic bk.)
Lccn
2008017095
Note
Wiley
Other control number
10.1002/9780470397428
Other physical details
ill
Specific material designation
remote
System control number
(OCoLC)352745595

Library Locations

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