The Analysis of Gene Expression Data: Methods and Software
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2003
|
| Schriftenreihe: | Statistics for Biology and Health
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Thedevelopmentoftechnologiesforhigh–throughputmeasurementofgene expression in biological system is providing powerful new tools for inv- tigating the transcriptome on a genomic scale, and across diverse biol- ical systems and experimental designs. This technological transformation is generating an increasing demand for data analysis in biological inv- tigations of gene expression. This book focuses on data analysis of gene expression microarrays. The goal is to provide guidance to practitioners in deciding which statistical approaches and packages may be indicated for their projects, in choosing among the various options provided by those packages, and in correctly interpreting the results. The book is a collection of chapters written by authors of statistical so- ware for microarray data analysis. Each chapter describes the conceptual and methodological underpinning of data analysis tools as well as their software implementation, and will enable readers to both understand and implement an analysis approach. Methods touch on all aspects of statis- cal analysis of microarrays, from annotation and ?ltering to clustering and classi?cation. All software packages described are free to academic users. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion and are designed to be accessible to microarray data analystswithoutformalquantitativetraining.Mostchaptersaredirectedat microarray data analysts with master’s-level training in computer science, biostatistics, or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers |
| Beschreibung: | 1 Online-Ressource (XIX, 456 p) |
| ISBN: | 9780387216799 9780387955773 |
| ISSN: | 1431-8776 |
| DOI: | 10.1007/b97411 |
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Datensatz im Suchindex
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| isbn | 9780387216799 9780387955773 |
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| spelling | Parmigiani, Giovanni Verfasser aut The Analysis of Gene Expression Data Methods and Software edited by Giovanni Parmigiani, Elizabeth S. Garrett, Rafael A. Irizarry, Scott L. Zeger New York, NY Springer New York 2003 1 Online-Ressource (XIX, 456 p) txt rdacontent c rdamedia cr rdacarrier Statistics for Biology and Health 1431-8776 Thedevelopmentoftechnologiesforhigh–throughputmeasurementofgene expression in biological system is providing powerful new tools for inv- tigating the transcriptome on a genomic scale, and across diverse biol- ical systems and experimental designs. This technological transformation is generating an increasing demand for data analysis in biological inv- tigations of gene expression. This book focuses on data analysis of gene expression microarrays. The goal is to provide guidance to practitioners in deciding which statistical approaches and packages may be indicated for their projects, in choosing among the various options provided by those packages, and in correctly interpreting the results. The book is a collection of chapters written by authors of statistical so- ware for microarray data analysis. Each chapter describes the conceptual and methodological underpinning of data analysis tools as well as their software implementation, and will enable readers to both understand and implement an analysis approach. Methods touch on all aspects of statis- cal analysis of microarrays, from annotation and ?ltering to clustering and classi?cation. All software packages described are free to academic users. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion and are designed to be accessible to microarray data analystswithoutformalquantitativetraining.Mostchaptersaredirectedat microarray data analysts with master’s-level training in computer science, biostatistics, or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers Statistics Human genetics Computer science Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Probability and Statistics in Computer Science Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Informatik Statistik Datenanalyse (DE-588)4123037-1 gnd rswk-swf Genexpression (DE-588)4020136-3 gnd rswk-swf Microarray (DE-588)4544227-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Genexpression (DE-588)4020136-3 s Microarray (DE-588)4544227-7 s Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Garrett, Elizabeth S. Sonstige oth Irizarry, Rafael A. Sonstige oth Zeger, Scott L. Sonstige oth https://doi.org/10.1007/b97411 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Parmigiani, Giovanni The Analysis of Gene Expression Data Methods and Software Statistics Human genetics Computer science Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Probability and Statistics in Computer Science Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Informatik Statistik Datenanalyse (DE-588)4123037-1 gnd Genexpression (DE-588)4020136-3 gnd Microarray (DE-588)4544227-7 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4020136-3 (DE-588)4544227-7 (DE-588)4143413-4 |
| title | The Analysis of Gene Expression Data Methods and Software |
| title_auth | The Analysis of Gene Expression Data Methods and Software |
| title_exact_search | The Analysis of Gene Expression Data Methods and Software |
| title_full | The Analysis of Gene Expression Data Methods and Software edited by Giovanni Parmigiani, Elizabeth S. Garrett, Rafael A. Irizarry, Scott L. Zeger |
| title_fullStr | The Analysis of Gene Expression Data Methods and Software edited by Giovanni Parmigiani, Elizabeth S. Garrett, Rafael A. Irizarry, Scott L. Zeger |
| title_full_unstemmed | The Analysis of Gene Expression Data Methods and Software edited by Giovanni Parmigiani, Elizabeth S. Garrett, Rafael A. Irizarry, Scott L. Zeger |
| title_short | The Analysis of Gene Expression Data |
| title_sort | the analysis of gene expression data methods and software |
| title_sub | Methods and Software |
| topic | Statistics Human genetics Computer science Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Probability and Statistics in Computer Science Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Informatik Statistik Datenanalyse (DE-588)4123037-1 gnd Genexpression (DE-588)4020136-3 gnd Microarray (DE-588)4544227-7 gnd |
| topic_facet | Statistics Human genetics Computer science Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Probability and Statistics in Computer Science Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Informatik Statistik Datenanalyse Genexpression Microarray Aufsatzsammlung |
| url | https://doi.org/10.1007/b97411 |
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