Fundamentals of Data Mining in Genomics and Proteomics /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dubitzky, Werner. (Editor), Granzow, Martin. (Editor), Berrar, Daniel P. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Subjects:
Table of Contents:
  • 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.