Methods of Microarray Data Analysis: Papers from CAMDA ’00
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 URL des Erstveröffentlichers |
| 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 is one of the first books 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 focuses on two well-known data sets, 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 (XIV, 189 p) |
| ISBN: | 9781461508731 |
| DOI: | 10.1007/978-1-4615-0873-1 |
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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 is one of the first books 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 focuses on two well-known data sets, 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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| indexdate | 2024-07-10T08:36:35Z |
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| isbn | 9781461508731 |
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| spelling | Methods of Microarray Data Analysis Papers from CAMDA ’00 edited by Simon M. Lin, Kimberly F. Johnson Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA Boston, MA Springer US 2002 1 Online-Ressource (XIV, 189 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 is one of the first books 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 focuses on two well-known data sets, 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 Lin, Simon M. edt Johnson, Kimberly F. edt Erscheint auch als Druck-Ausgabe 9780792375647 Erscheint auch als Druck-Ausgabe 9781461352815 Erscheint auch als Druck-Ausgabe 9781461508748 https://doi.org/10.1007/978-1-4615-0873-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Methods of Microarray Data Analysis Papers from CAMDA ’00 Biochemistry, general Human Genetics Statistics for Life Sciences, Medicine, Health Sciences Biochemistry Human genetics Statistics |
| title | Methods of Microarray Data Analysis Papers from CAMDA ’00 |
| title_alt | Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA |
| title_auth | Methods of Microarray Data Analysis Papers from CAMDA ’00 |
| title_exact_search | Methods of Microarray Data Analysis Papers from CAMDA ’00 |
| title_full | Methods of Microarray Data Analysis Papers from CAMDA ’00 edited by Simon M. Lin, Kimberly F. Johnson |
| title_fullStr | Methods of Microarray Data Analysis Papers from CAMDA ’00 edited by Simon M. Lin, Kimberly F. Johnson |
| title_full_unstemmed | Methods of Microarray Data Analysis Papers from CAMDA ’00 edited by Simon M. Lin, Kimberly F. Johnson |
| title_short | Methods of Microarray Data Analysis |
| title_sort | methods of microarray data analysis papers from camda 00 |
| title_sub | Papers from CAMDA ’00 |
| 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 |
| url | https://doi.org/10.1007/978-1-4615-0873-1 |
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