Werner Dubitzky,
Martin Granzow,
Daniel P. Berrar
Springer US
0e druk, 2010
9781441942913
Fundamentals of Data Mining in Genomics and Proteomics
Specificaties
Paperback, 281 blz.
|
Engels
Springer US |
0e druk, 2010
ISBN13: 9781441942913
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
Specificaties
ISBN13:9781441942913
Taal:Engels
Bindwijze:paperback
Aantal pagina's:281
Uitgever:Springer US
Druk:0
Inhoudsopgave
to Genomic and Proteomic Data Analysis.- Design Principles for Microarray Investigations.- Pre-Processing DNA Microarray Data.- Pre-Processing Mass Spectrometry Data.- Visualization in Genomics and Proteomics.- Clustering — Class Discovery in the Post-Genomic Era.- Feature Selection and Dimensionality Reduction in Genomics and Proteomics.- Resampling Strategies for Model Assessment and Selection.- Classification of Genomic and Proteomic Data Using Support Vector Machines.- Networks in Cell Biology.- Identifying Important Explanatory Variables for Time-Varying Outcomes.- Text Mining in Genomics and Proteomics.