Microarray bioinformatics:
This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, comp...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2019
|
| Ausgabe: | 1st ed. 2019 |
| Schriftenreihe: | Methods in Molecular Biology
1986 |
| Schlagworte: | |
| Online-Zugang: | DE-355 DE-91 Volltext |
| Zusammenfassung: | This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets |
| Beschreibung: | 1. Introduction to bioinformatics -- 2. Protocol for DNA microarrays on glass slides -- 3. Data warehousing with TargetMine for omics data analysis -- 4. A review of microarray datasets: where to find them and specific characteristics -- 5. Statistical analysis of microarray data -- 6. Feature selection applied to microarray data -- 7. Cluster analysis of microarray data -- 8. Classification of microarray data -- 9. Microarray data normalization and robust detection of rhythmic features -- 10. HPC tools to deal with microarray data -- 11. ROC curves for the statistical analysis of microarray data -- 12. Missing values imputation algorithms for microarray gene expression data -- 13. Computer tools to analyze microarray data -- 14. Challenges and future trends for microarray analysis |
| Beschreibung: | 1 Online-Ressource (X, 299 Seiten) Illustrationen |
| ISBN: | 9781493994427 |
| DOI: | 10.1007/978-1-4939-9442-7 |
Internformat
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| 520 | |a This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets | ||
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| doi_str_mv | 10.1007/978-1-4939-9442-7 |
| edition | 1st ed. 2019 |
| format | Electronic eBook |
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| id | DE-604.BV047644149 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:48:19Z |
| indexdate | 2024-08-14T00:11:17Z |
| institution | BVB |
| isbn | 9781493994427 |
| language | English |
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| spelling | Microarray bioinformatics edited by Verónica Bolón-Canedo, Amparo Alonso-Betanzos 1st ed. 2019 New York, NY Springer New York 2019 1 Online-Ressource (X, 299 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1986 1. Introduction to bioinformatics -- 2. Protocol for DNA microarrays on glass slides -- 3. Data warehousing with TargetMine for omics data analysis -- 4. A review of microarray datasets: where to find them and specific characteristics -- 5. Statistical analysis of microarray data -- 6. Feature selection applied to microarray data -- 7. Cluster analysis of microarray data -- 8. Classification of microarray data -- 9. Microarray data normalization and robust detection of rhythmic features -- 10. HPC tools to deal with microarray data -- 11. ROC curves for the statistical analysis of microarray data -- 12. Missing values imputation algorithms for microarray gene expression data -- 13. Computer tools to analyze microarray data -- 14. Challenges and future trends for microarray analysis This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets Bioinformatics Microarrays Genetics Bolón-Canedo, Verónica 1984- (DE-588)109648837X edt Alonso-Betanzos, Amparo 1961- (DE-588)1188895303 edt Erscheint auch als Druck-Ausgabe 978-1-4939-9444-1 https://doi.org/10.1007/978-1-4939-9442-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Microarray bioinformatics Bioinformatics Microarrays Genetics |
| title | Microarray bioinformatics |
| title_auth | Microarray bioinformatics |
| title_exact_search | Microarray bioinformatics |
| title_exact_search_txtP | Microarray bioinformatics |
| title_full | Microarray bioinformatics edited by Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| title_fullStr | Microarray bioinformatics edited by Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| title_full_unstemmed | Microarray bioinformatics edited by Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
| title_short | Microarray bioinformatics |
| title_sort | microarray bioinformatics |
| topic | Bioinformatics Microarrays Genetics |
| topic_facet | Bioinformatics Microarrays Genetics |
| url | https://doi.org/10.1007/978-1-4939-9442-7 |
| work_keys_str_mv | AT boloncanedoveronica microarraybioinformatics AT alonsobetanzosamparo microarraybioinformatics |