Analysis of Microarray Gene Expression Data:
After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact o...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2004
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Schlagworte: | |
Online-Zugang: | UBR01 Volltext |
Zusammenfassung: | After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data |
Beschreibung: | 1 Online-Ressource (XVI, 377 p. 18 illus) |
ISBN: | 9781402077883 |
DOI: | 10.1007/b129531 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Lee, Mei-Ling Ting |
author_facet | Lee, Mei-Ling Ting |
author_role | aut |
author_sort | Lee, Mei-Ling Ting |
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dewey-ones | 572 - Biochemistry |
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discipline | Biologie |
doi_str_mv | 10.1007/b129531 |
format | Electronic eBook |
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id | DE-604.BV046148535 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:36:34Z |
institution | BVB |
isbn | 9781402077883 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031528712 |
oclc_num | 1119020157 |
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owner | DE-355 DE-BY-UBR |
owner_facet | DE-355 DE-BY-UBR |
physical | 1 Online-Ressource (XVI, 377 p. 18 illus) |
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publishDate | 2004 |
publishDateSearch | 2004 |
publishDateSort | 2004 |
publisher | Springer US |
record_format | marc |
spelling | Lee, Mei-Ling Ting Verfasser aut Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee Boston, MA Springer US 2004 1 Online-Ressource (XVI, 377 p. 18 illus) txt rdacontent c rdamedia cr rdacarrier After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data Biochemistry, general Statistics, general Mathematical and Computational Biology Human Genetics Evolutionary Biology Cancer Research Biochemistry Statistics Human genetics Evolution (Biology) Oncology Erscheint auch als Druck-Ausgabe 9781475788235 Erscheint auch als Druck-Ausgabe 9780792370871 Erscheint auch als Druck-Ausgabe 9781475788228 https://doi.org/10.1007/b129531 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Lee, Mei-Ling Ting Analysis of Microarray Gene Expression Data Biochemistry, general Statistics, general Mathematical and Computational Biology Human Genetics Evolutionary Biology Cancer Research Biochemistry Statistics Human genetics Evolution (Biology) Oncology |
title | Analysis of Microarray Gene Expression Data |
title_auth | Analysis of Microarray Gene Expression Data |
title_exact_search | Analysis of Microarray Gene Expression Data |
title_full | Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee |
title_fullStr | Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee |
title_full_unstemmed | Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee |
title_short | Analysis of Microarray Gene Expression Data |
title_sort | analysis of microarray gene expression data |
topic | Biochemistry, general Statistics, general Mathematical and Computational Biology Human Genetics Evolutionary Biology Cancer Research Biochemistry Statistics Human genetics Evolution (Biology) Oncology |
topic_facet | Biochemistry, general Statistics, general Mathematical and Computational Biology Human Genetics Evolutionary Biology Cancer Research Biochemistry Statistics Human genetics Evolution (Biology) Oncology |
url | https://doi.org/10.1007/b129531 |
work_keys_str_mv | AT leemeilingting analysisofmicroarraygeneexpressiondata |