ProCAT: a data analysis approach for protein microarrays.
Protein microarrays provide a versatile method for the analysis of many protein biochemical activities. Existing DNA microarray analytical methods do not translate to protein microarrays due to differences between the technologies. Here we report a new approach, ProCAT, which corrects for background bias and spatial artifacts, identifies significant signals, filters nonspecific spots, and normalizes the resulting signal to protein abundance. ProCAT provides a powerful and flexible new approach for analyzing many types of protein microarrays.
Zhu
Xiaowei
X
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Gerstein
Mark
M
Snyder
Michael
M
D017868:Cyclic AMP-Dependent Protein Kinases / Q000378:metabolism; D040081:Protein Array Analysis / Q000379:methods* / Q000592:standards; D011786:Quality Control; D012372:ROC Curve; D012441:Saccharomyces cerevisiae / Q000378:metabolism; D012984:Software
D017868:Cyclic AMP-Dependent Protein Kinases