Data mining for bioinformatics applications:
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to i...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, UK
Woodhead Publishing is an imprint of Elsevier
[2015]
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| Schriftenreihe: | Woodhead Publishing series in biomedicine
no. 76 |
| Schlagworte: | |
| Online-Zugang: | Volltext Inhaltsverzeichnis |
| Zusammenfassung: | Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource illustrations (some color) |
| ISBN: | 9780081001073 008100107X |
Internformat
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Datensatz im Suchindex
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| adam_text | Titel: Data mining for bioinformatics applications
Autor: He, Zengyou
Jahr: 2015
Contents List of figures vii List of tables xi About the author xiii Dedication xv An overview of data mining 1 1.1 What’s data mining? 1 1.2 Data mining process models 1 1.3 Data collection 1 1.4 Data preprocessing 2 1.5 Data modeling 3 1.6 Model assessment 8 1.7 Model deployment 9 1.8 Summary 9 References 10 Introduction to bioinformatics 11 2.1 A primer to molecular biology 11 2.2 What is bioinformatics? 11 2.3 Data mining issues in bioinformatics 12 2.4 Challenges in biological data mining 17 2.5 Summary 17 References 17 3 Phosphorylation motif discovery 19 3.1 Background and problem description 19 3.2 The nature of the problem 20 3.3 Data collection 20 3.4 Data preprocessing 21 3.5 Modeling: A discriminative pattern mining perspective 21 3.6 Validation: Permutation p-value calculation 24 3.7 Discussion and future perspective 26 References 27 4 Phosphorylation site prediction 29 4.1 Background and problem description 29 4.2 Data collection and data preprocessing 29
vi Contents 4.3 Modeling: Different learning schemes 32 4.4 Validation: Cross-validation and independent test 35 4.5 Discussion and future perspective 35 References 36 5 Protein inference in shotgun proteomics 39 5.1 Introduction to proteomics 39 5.2 Protein identification in proteomics 40 5.3 Protein inference: Problem formulation 40 5.4 Data collection 41 5.5 Modeling with different data mining techniques 41 5.6 Validation: Target-decoy versus decoy-free 44 5.7 Discussion and future perspective 48 References 48 6 PPI network inference from AP-MS data 51 6.1 Introduction to protein-protein interactions 51 6.2 AP-MS data generation 51 6.3 Data collection and preprocessing 52 6.4 Modeling with different data mining techniques 52 6.5 Validation 56 6.6 Discussion and future perspective 57 References 58 7 Protein complex identification from AP-MS data 61 7.1 An introduction to protein complex identification 61 7.2 Data collection and data preprocessing 61 7.3 Modeling: A graph clustering framework 61 7.4 Validation 67 7.5 Discussion and future perspective 68 References 68 8 Biomarker discovery 69 8.1 An introduction to biomarker discovery 69 8.2 Data preprocessing 69 8.3 Modeling 70 8.4 Validation 75 8.5 Case study 76 8.6 Discussion and future perspective 77 References 78 Conclusions 79 Index 81
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| spelling | Zengyou, He aut Data mining for bioinformatics applications Zengyou He Cambridge, UK Woodhead Publishing is an imprint of Elsevier [2015] 1 online resource illustrations (some color) txt rdacontent c rdamedia cr rdacarrier Woodhead Publishing series in biomedicine no. 76 Includes bibliographical references and index Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation COMPUTERS / Bioinformatics bisacsh SCIENCE / Life Sciences / Biochemistry bisacsh Bioinformatics fast Data mining fast Bioinformatics Data mining Data Mining (DE-588)4428654-5 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Data Mining (DE-588)4428654-5 s Bioinformatik (DE-588)4611085-9 s 1\p DE-604 http://www.sciencedirect.com/science/book/9780081001004 Verlag Volltext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028366978&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Zengyou, He Data mining for bioinformatics applications COMPUTERS / Bioinformatics bisacsh SCIENCE / Life Sciences / Biochemistry bisacsh Bioinformatics fast Data mining fast Bioinformatics Data mining Data Mining (DE-588)4428654-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
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| title | Data mining for bioinformatics applications |
| title_auth | Data mining for bioinformatics applications |
| title_exact_search | Data mining for bioinformatics applications |
| title_full | Data mining for bioinformatics applications Zengyou He |
| title_fullStr | Data mining for bioinformatics applications Zengyou He |
| title_full_unstemmed | Data mining for bioinformatics applications Zengyou He |
| title_short | Data mining for bioinformatics applications |
| title_sort | data mining for bioinformatics applications |
| topic | COMPUTERS / Bioinformatics bisacsh SCIENCE / Life Sciences / Biochemistry bisacsh Bioinformatics fast Data mining fast Bioinformatics Data mining Data Mining (DE-588)4428654-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | COMPUTERS / Bioinformatics SCIENCE / Life Sciences / Biochemistry Bioinformatics Data mining Data Mining Bioinformatik |
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