A Discussion of Statistical Methods for Design and Analysis of Microarray Experiments for Plant Scientists

Date
2006-09-01
Authors
Nettleton, Dan
Nettleton, Dan
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Statistics
Organizational Unit
Journal Issue
Series
Department
Statistics
Abstract

There is much excitement among biologists and statisticians regarding new high-dimension data sets that have arisen from the application of microarray technology. In statistics, there has been a flurry of activity surrounding the development of new methods for the analysis of such data, and biologists are eager to extract as much information as possible from their substantial investments in microarray experiments. In this article, I offer statistical advice for plant biologists engaged in microarray research. My views are those of a statistician who has been working with scientists on the design and analysis of microarray experiments for the past 5 years. I will describe statistical concepts important for all researchers to understand and present data analysis strategies that I have found useful.

Comments

This article is published as Nettleton, Dan. "A discussion of statistical methods for design and analysis of microarray experiments for plant scientists." The Plant Cell 18, no. 9 (2006): 2112-2121. doi: 10.1105/tpc.106.041616. Copyright American Society of Plant Biologists. Posted with permssion.

Description
Keywords
Citation
DOI
Collections