Methods of Microarray Data Analysis II: Papers from CAMDA’ 01
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray...
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| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2002
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| Schlagworte: | |
| Online-Zugang: | UBR01 Volltext |
| Zusammenfassung: | Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs |
| Beschreibung: | 1 Online-Ressource (XII, 214 p) |
| ISBN: | 9780306475986 |
| DOI: | 10.1007/b112982 |
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| 520 | |a Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs | ||
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| spelling | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 edited by Simon M. Lin, Kimberly F. Johnson Boston, MA Springer US 2002 1 Online-Ressource (XII, 214 p) txt rdacontent c rdamedia cr rdacarrier Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs Biochemistry, general Human Genetics Statistics for Life Sciences, Medicine, Health Sciences Biochemistry Human genetics Statistics 1\p (DE-588)1071861417 Konferenzschrift gnd-content Lin, Simon M. edt Johnson, Kimberly F. edt Erscheint auch als Druck-Ausgabe 9781475788310 Erscheint auch als Druck-Ausgabe 9781402071119 Erscheint auch als Druck-Ausgabe 9781475788303 https://doi.org/10.1007/b112982 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 Biochemistry, general Human Genetics Statistics for Life Sciences, Medicine, Health Sciences Biochemistry Human genetics Statistics |
| subject_GND | (DE-588)1071861417 |
| title | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 |
| title_auth | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 |
| title_exact_search | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 |
| title_full | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 edited by Simon M. Lin, Kimberly F. Johnson |
| title_fullStr | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 edited by Simon M. Lin, Kimberly F. Johnson |
| title_full_unstemmed | Methods of Microarray Data Analysis II Papers from CAMDA’ 01 edited by Simon M. Lin, Kimberly F. Johnson |
| title_short | Methods of Microarray Data Analysis II |
| title_sort | methods of microarray data analysis ii papers from camda 01 |
| title_sub | Papers from CAMDA’ 01 |
| topic | Biochemistry, general Human Genetics Statistics for Life Sciences, Medicine, Health Sciences Biochemistry Human genetics Statistics |
| topic_facet | Biochemistry, general Human Genetics Statistics for Life Sciences, Medicine, Health Sciences Biochemistry Human genetics Statistics Konferenzschrift |
| url | https://doi.org/10.1007/b112982 |
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