Statistical Methods for Microarray Data Analysis

Methods and Protocols

  • Andrei Y. Yakovlev
  • Lev Klebanov
  • Daniel Gaile

Part of the Methods in Molecular Biology book series (MIMB, volume 972)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xing Qiu, Lev Klebanov
    Pages 57-71
  3. G. J. McLachlan, L. K. Flack, S. K. Ng, K. Wang
    Pages 103-119
  4. Wei Zhi, Jane Minturn, Eric Rappaport, Garrett Brodeur, Hongzhe Li
    Pages 121-139
  5. Linlin Chen, Anthony Almudevar, Lev Klebanov
    Pages 177-191
  6. Bobosharif Shokirov
    Pages 193-208
  7. Back Matter
    Pages 209-212

About this book

Introduction

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.

Keywords

Microarrays RNA clustering of the tissue samples gene expression gene signatures genes normalization procedures oncogene prolegomena statistical methods

Editors and affiliations

  • Andrei Y. Yakovlev
    • 1
  • Lev Klebanov
    • 2
  • Daniel Gaile
    • 3
  1. 1.School of Medicine & Dentistry, Dept. Biostatistics & ComputationalUniversity of RochesterRochesterUSA
  2. 2., Department of Probability and StatisticsCharles UniversityPragueCzech Republic
  3. 3.State University of New York at BuffaloBuffaloUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-60327-337-4
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-60327-336-7
  • Online ISBN 978-1-60327-337-4
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book