Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey PA
Medical Information Science Reference
[2012]
|
| Series: | Premier reference source
|
| Subjects: | |
| Links: | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1785-8 https://doi.org/10.4018/978-1-4666-1785-8 https://doi.org/10.4018/978-1-4666-1785-8 https://doi.org/10.4018/978-1-4666-1785-8 https://doi.org/10.4018/978-1-4666-1785-8 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-1785-8 |
| Summary: | "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 |
| Item Description: | Includes bibliographical references |
| Physical Description: | 1 Online-Ressource (xxviii, 433 Seiten) |
| ISBN: | 9781466617865 9781466617872 |
Staff View
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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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| 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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| id | DE-604.BV044252287 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:57:58Z |
| institution | BVB |
| isbn | 9781466617865 9781466617872 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029657362 |
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| physical | 1 Online-Ressource (xxviii, 433 Seiten) |
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| publishDate | 2012 |
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| publisher | Medical Information Science Reference |
| record_format | marc |
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| 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 |