Sale!

Statistical Methods for Microarray Data Analysis Methods and Protocols 1st Edition by Andrei Y Yakovlev,Lev Klebanov,Daniel Gaile ISBN 1493950797 978-1493950799

Original price was: $50.00.Current price is: $35.00.

Statistical Methods for Microarray Data Analysis Methods and Protocols 1st Edition Andrei Y. Yakovlev Digital Instant Download

Author(s): Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
ISBN(s): 9781603273367, 1603273360
Edition: 1
File Details: PDF, 3.21 MB
Year: 2013
Language: english
SKU: EB-4315058 Category: Tags: , ,

Statistical Methods for Microarray Data Analysis Methods and Protocols 1st Edition by Andrei Y. Yakovlev, Lev Klebanov ,Daniel Gaile – Ebook PDF Instant Download/Delivery: 1493950797 978-1493950799

Full download Statistical Methods for Microarray Data Analysis Methods and Protocols 1st Edition after payment

 

 

Product details:

ISBN 10: 1493950797

ISBN 13:  978-1493950799

Author: Andrei Y. Yakovlev, Lev Klebanov ,Daniel Gaile

Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.

Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.

Table of contents: 

  1. What Statisticians Should Know About Microarray Gene Expression Technology
  2. Where Statistics and Molecular Microarray Experiments Biology Meet
  3. Multiple Hypothesis Testing: A Methodological Overview
  4. Gene Selection with the d-sequence Method
  5. Using Normalizations for Gene Expression Analysis
  6. Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data
  7. Clustering of Gene-Expression Data via Normal Mixture Models
  8. Network-based Analysis of Multivariate Gene Expression Data
  9. Genomic Outlier Detection in High-throughput Data Analysis
  10. Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiments
  11. Aggregation Effect in Microarray Data Analysis
  12. Test for Normality of the Gene Expression Data

People also search for:

    
statistical methods for microarray data analysis
    
microarray analysis steps
    
microarray method
    
statistical methods for microarray
    
microarray analysis explained

 

Tags:

Andrei Y Yakovlev,Lev Klebanov,Daniel Gaile,Statistical Methods for,Microarray Data Analysis,Methods and Protocols