Journal
BIOSTATISTICS
Volume 10, Issue 3, Pages 481-500Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxp006
Keywords
Experimental design; Fourier transform; Mass calibration; Mass spectrometry; Normalization
Funding
- National Cancer Institute [R25 CA92049]
- Fraternal Order of Eagles Cancer Fund
- DavidWoods Kemper Memorial Foundation
Ask authors/readers for more resources
Mass spectrometry is a powerful tool with much promise in global proteomic studies. The discipline of statistics offers robust methodologies to extract and interpret high-dimensional mass-spectrometry data and will be a valuable contributor to the field. Here, we describe the process by which data are produced, characteristics of the data, and the analytical preprocessing steps that are taken in order to interpret the data and use it in downstream statistical analyses. Because of the complexity of data acquisition, statistical methods developed for gene expression microarray data are not directly applicable to proteomic data. Areas in need of statistical research for proteomic data include alignment, experimental design, abundance normalization, and statistical analysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available