id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-048344-ps3mnpzq	Zhu, Xiaowei	ProCAT: a data analysis approach for protein microarrays	2006-11-16		.txt	text/plain	5728	300	48	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. In addition, spatial variations can be reduced efficiently through a novel two-parameter signal normalization approach and calling positive spots locally. A scaling method that reduces signal variations among spots of the same proteins at different array locations decreases spatial artifacts. The average values are then used to correct the signal of the central spot to To test the performance of this two-parameter scaling approach for signal normalization within one slide, we designed a test microarray containing multiple positive controls printed at different positions on the slide. Processed data including analysis parameters, a list of positive spots with protein annotations, and normalized signal intensities will be available for the users to download from the server.	./cache/cord-048344-ps3mnpzq.txt	./txt/cord-048344-ps3mnpzq.txt