Computational knowledge discovery for bioinformatics research:
"This book discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner that is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved i...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA
Medical Information Science Reference
[2012]
|
Schriftenreihe: | Premier reference source
|
Schlagworte: | |
Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
Zusammenfassung: | "This book discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner that is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics" - Provided by publisher |
Beschreibung: | Includes bibliographical references |
Beschreibung: | 1 Online-Ressource (xxviii, 433 Seiten) |
ISBN: | 9781466617865 9781466617872 |
Internformat
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245 | 1 | 0 | |a Computational knowledge discovery for bioinformatics research |c Xiao-Li Li (Institute for Infocomm Research, A* STAR, Singapore), See-Kiong Ng (Institute for Infocomm Research, A* STAR, Singapore) |
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505 | 8 | |a Identification of distinguishing motifs / Wangsen Feng, Lusheng Wang -- Mapping Affymetrix microarray probes to the rat genome via a persistent index / Susan Fairley ... [et al.] -- Improving prediction accuracy via subspace modeling / Majid Masso -- Characterization and classification of local protein surfaces using self-organizing map / Lee Sael, Daisuke Kihara -- Clustering genes using heterogeneous data sources / Erliang Zeng ... [et al.] -- Efficient mining frequent closed discriminative biclusters by sample-growth: the FDCluster approach / Miao Wang ... [et al.] -- Wave-SOM: a novel wavelet-based clustering algorithm for analysis of gene expression patterns / Andrew Blanchard ... [et al.] -- Mining frequent boolean expressions: application to gene expression and regulatory modeling / Mohammed Zaki, Naren Ramakrishnan, Lizhuang Zhao -- | |
505 | 8 | |a - Bioinformatics methods for studying MicroRNA and ARE-mediated regulation of post-transcriptional gene expression / Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga -- Prediction of protein-protein interactions between human host and two mycobacterial organisms / Oruganty Krishnadev, Shveta Bisht, Narayanaswamy Srinivasan -- A transfer learning approach and selective integration of multiple types of assays for biological network inference / Tsuyoshi Kato ... [et al.] -- Incorporating network topology improves prediction of protein interaction networks from transcriptomic data / Peter E. Larsen, Frank Collart, Yang Dai -- Mining protein interactome networks to measure interaction reliability and select hub proteins / Young-Rae Cho, Aidong Zhang -- Finding minimum reaction cuts of metabolic networks under a boolean model / Takeyuki Tamura, Kazuhiro Takemoto, Tatsuya Akutsu -- | |
505 | 8 | |a - New trends in graph mining: structural and node-colored network motifs / Francesco Bruno, Luigi Palopoli, Simona E. Rombo -- Discriminative subgraph mining for protein classification / Ning Jin, Calvin Young, Wei Wang -- Infer species phylogenies using self-organizing maps / Xiaoxu Han -- SPCCTDM, a catalogue for analysis of therapeutic drug monitoring related contents / Sven Ulrich ... [et al.] -- Hierarchical density-based clustering of white matter tracts in the human brain / Junming Shao ... [et al.] -- Revealing the origin and nature of drug resistance of dynamic tumour systems / Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author2 | Li, Xiao-Li Ng, See-Kiong |
author2_role | edt edt |
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author_facet | Li, Xiao-Li Ng, See-Kiong |
building | Verbundindex |
bvnumber | BV044252287 |
collection | ZDB-98-IGB ZDB-1-IGE |
contents | Identification of distinguishing motifs / Wangsen Feng, Lusheng Wang -- Mapping Affymetrix microarray probes to the rat genome via a persistent index / Susan Fairley ... [et al.] -- Improving prediction accuracy via subspace modeling / Majid Masso -- Characterization and classification of local protein surfaces using self-organizing map / Lee Sael, Daisuke Kihara -- Clustering genes using heterogeneous data sources / Erliang Zeng ... [et al.] -- Efficient mining frequent closed discriminative biclusters by sample-growth: the FDCluster approach / Miao Wang ... [et al.] -- Wave-SOM: a novel wavelet-based clustering algorithm for analysis of gene expression patterns / Andrew Blanchard ... [et al.] -- Mining frequent boolean expressions: application to gene expression and regulatory modeling / Mohammed Zaki, Naren Ramakrishnan, Lizhuang Zhao -- - Bioinformatics methods for studying MicroRNA and ARE-mediated regulation of post-transcriptional gene expression / Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga -- Prediction of protein-protein interactions between human host and two mycobacterial organisms / Oruganty Krishnadev, Shveta Bisht, Narayanaswamy Srinivasan -- A transfer learning approach and selective integration of multiple types of assays for biological network inference / Tsuyoshi Kato ... [et al.] -- Incorporating network topology improves prediction of protein interaction networks from transcriptomic data / Peter E. Larsen, Frank Collart, Yang Dai -- Mining protein interactome networks to measure interaction reliability and select hub proteins / Young-Rae Cho, Aidong Zhang -- Finding minimum reaction cuts of metabolic networks under a boolean model / Takeyuki Tamura, Kazuhiro Takemoto, Tatsuya Akutsu -- - New trends in graph mining: structural and node-colored network motifs / Francesco Bruno, Luigi Palopoli, Simona E. Rombo -- Discriminative subgraph mining for protein classification / Ning Jin, Calvin Young, Wei Wang -- Infer species phylogenies using self-organizing maps / Xiaoxu Han -- SPCCTDM, a catalogue for analysis of therapeutic drug monitoring related contents / Sven Ulrich ... [et al.] -- Hierarchical density-based clustering of white matter tracts in the human brain / Junming Shao ... [et al.] -- Revealing the origin and nature of drug resistance of dynamic tumour systems / Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden |
ctrlnum | (OCoLC)1011391242 (DE-599)BVBBV044252287 |
format | Electronic eBook |
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genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV044252287 |
illustrated | Not Illustrated |
indexdate | 2024-08-23T01:06:30Z |
institution | BVB |
isbn | 9781466617865 9781466617872 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029657362 |
oclc_num | 1011391242 |
open_access_boolean | |
owner | DE-706 DE-1049 DE-898 DE-BY-UBR DE-1050 DE-83 |
owner_facet | DE-706 DE-1049 DE-898 DE-BY-UBR DE-1050 DE-83 |
physical | 1 Online-Ressource (xxviii, 433 Seiten) |
psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB TUB_EBS_IGB |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Medical Information Science Reference |
record_format | marc |
series2 | Premier reference source |
spelling | Computational knowledge discovery for bioinformatics research Xiao-Li Li (Institute for Infocomm Research, A* STAR, Singapore), See-Kiong Ng (Institute for Infocomm Research, A* STAR, Singapore) Hershey PA Medical Information Science Reference [2012] © 2012 1 Online-Ressource (xxviii, 433 Seiten) txt rdacontent c rdamedia cr rdacarrier Premier reference source Includes bibliographical references Identification of distinguishing motifs / Wangsen Feng, Lusheng Wang -- Mapping Affymetrix microarray probes to the rat genome via a persistent index / Susan Fairley ... [et al.] -- Improving prediction accuracy via subspace modeling / Majid Masso -- Characterization and classification of local protein surfaces using self-organizing map / Lee Sael, Daisuke Kihara -- Clustering genes using heterogeneous data sources / Erliang Zeng ... [et al.] -- Efficient mining frequent closed discriminative biclusters by sample-growth: the FDCluster approach / Miao Wang ... [et al.] -- Wave-SOM: a novel wavelet-based clustering algorithm for analysis of gene expression patterns / Andrew Blanchard ... [et al.] -- Mining frequent boolean expressions: application to gene expression and regulatory modeling / Mohammed Zaki, Naren Ramakrishnan, Lizhuang Zhao -- - Bioinformatics methods for studying MicroRNA and ARE-mediated regulation of post-transcriptional gene expression / Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga -- Prediction of protein-protein interactions between human host and two mycobacterial organisms / Oruganty Krishnadev, Shveta Bisht, Narayanaswamy Srinivasan -- A transfer learning approach and selective integration of multiple types of assays for biological network inference / Tsuyoshi Kato ... [et al.] -- Incorporating network topology improves prediction of protein interaction networks from transcriptomic data / Peter E. Larsen, Frank Collart, Yang Dai -- Mining protein interactome networks to measure interaction reliability and select hub proteins / Young-Rae Cho, Aidong Zhang -- Finding minimum reaction cuts of metabolic networks under a boolean model / Takeyuki Tamura, Kazuhiro Takemoto, Tatsuya Akutsu -- - New trends in graph mining: structural and node-colored network motifs / Francesco Bruno, Luigi Palopoli, Simona E. Rombo -- Discriminative subgraph mining for protein classification / Ning Jin, Calvin Young, Wei Wang -- Infer species phylogenies using self-organizing maps / Xiaoxu Han -- SPCCTDM, a catalogue for analysis of therapeutic drug monitoring related contents / Sven Ulrich ... [et al.] -- Hierarchical density-based clustering of white matter tracts in the human brain / Junming Shao ... [et al.] -- Revealing the origin and nature of drug resistance of dynamic tumour systems / Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden "This book discusses the most significant research and latest practices in computational knowledge discovery approaches to bioinformatics in a cross-disciplinary manner that is useful for researchers, practitioners, academicians, mathematicians, statisticians, and computer scientists involved in the many facets of bioinformatics" - Provided by publisher Bioinformatics Data mining (DE-588)4143413-4 Aufsatzsammlung gnd-content Li, Xiao-Li edt Ng, See-Kiong edt Erscheint auch als Druck-Ausgabe 978-1-4666-1785-8 Erscheint auch als Druck-Ausgabe 1-4666-1785-3 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1785-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Computational knowledge discovery for bioinformatics research Identification of distinguishing motifs / Wangsen Feng, Lusheng Wang -- Mapping Affymetrix microarray probes to the rat genome via a persistent index / Susan Fairley ... [et al.] -- Improving prediction accuracy via subspace modeling / Majid Masso -- Characterization and classification of local protein surfaces using self-organizing map / Lee Sael, Daisuke Kihara -- Clustering genes using heterogeneous data sources / Erliang Zeng ... [et al.] -- Efficient mining frequent closed discriminative biclusters by sample-growth: the FDCluster approach / Miao Wang ... [et al.] -- Wave-SOM: a novel wavelet-based clustering algorithm for analysis of gene expression patterns / Andrew Blanchard ... [et al.] -- Mining frequent boolean expressions: application to gene expression and regulatory modeling / Mohammed Zaki, Naren Ramakrishnan, Lizhuang Zhao -- - Bioinformatics methods for studying MicroRNA and ARE-mediated regulation of post-transcriptional gene expression / Richipal Singh Bindra, Jason T. L. Wang, Paramjeet Singh Bagga -- Prediction of protein-protein interactions between human host and two mycobacterial organisms / Oruganty Krishnadev, Shveta Bisht, Narayanaswamy Srinivasan -- A transfer learning approach and selective integration of multiple types of assays for biological network inference / Tsuyoshi Kato ... [et al.] -- Incorporating network topology improves prediction of protein interaction networks from transcriptomic data / Peter E. Larsen, Frank Collart, Yang Dai -- Mining protein interactome networks to measure interaction reliability and select hub proteins / Young-Rae Cho, Aidong Zhang -- Finding minimum reaction cuts of metabolic networks under a boolean model / Takeyuki Tamura, Kazuhiro Takemoto, Tatsuya Akutsu -- - New trends in graph mining: structural and node-colored network motifs / Francesco Bruno, Luigi Palopoli, Simona E. Rombo -- Discriminative subgraph mining for protein classification / Ning Jin, Calvin Young, Wei Wang -- Infer species phylogenies using self-organizing maps / Xiaoxu Han -- SPCCTDM, a catalogue for analysis of therapeutic drug monitoring related contents / Sven Ulrich ... [et al.] -- Hierarchical density-based clustering of white matter tracts in the human brain / Junming Shao ... [et al.] -- Revealing the origin and nature of drug resistance of dynamic tumour systems / Ricardo Santiago-Mozos, Imtiaz A. Khan, Michael G. Madden Bioinformatics Data mining |
subject_GND | (DE-588)4143413-4 |
title | Computational knowledge discovery for bioinformatics research |
title_auth | Computational knowledge discovery for bioinformatics research |
title_exact_search | Computational knowledge discovery for bioinformatics research |
title_full | Computational knowledge discovery for bioinformatics research Xiao-Li Li (Institute for Infocomm Research, A* STAR, Singapore), See-Kiong Ng (Institute for Infocomm Research, A* STAR, Singapore) |
title_fullStr | Computational knowledge discovery for bioinformatics research Xiao-Li Li (Institute for Infocomm Research, A* STAR, Singapore), See-Kiong Ng (Institute for Infocomm Research, A* STAR, Singapore) |
title_full_unstemmed | Computational knowledge discovery for bioinformatics research Xiao-Li Li (Institute for Infocomm Research, A* STAR, Singapore), See-Kiong Ng (Institute for Infocomm Research, A* STAR, Singapore) |
title_short | Computational knowledge discovery for bioinformatics research |
title_sort | computational knowledge discovery for bioinformatics research |
topic | Bioinformatics Data mining |
topic_facet | Bioinformatics Data mining Aufsatzsammlung |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1785-8 |
work_keys_str_mv | AT lixiaoli computationalknowledgediscoveryforbioinformaticsresearch AT ngseekiong computationalknowledgediscoveryforbioinformaticsresearch |