id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-301218-zsp5sh9o	Weeraratna, Ashani T.	Gene Expression Profiling: From Microarrays to Medicine	2004		.txt	text/plain	6384	284	35	One of the challenges in array data analysis is to distinguish specific physiologic changes in gene expression from the noise and variability inherent within the microarray technique. If an analysis technique can be developed and validated that can identify the genes that undergo a significant change in expression and remove those that do not, it could alter microarray design and construction in favor of smaller focused arrays that query only biologically relevant genes. Presently, most large-scale projects examining genome-wide SNP expression are based on differential hybridization affinity using either spotted or in situ synthesized oligonucleotide arrays (45, 46) or utilize mass spectroscopy for genotype analysis (7, 47) . In addition, potential usefulness of microarray-derived gene expression data has been shown in several recent studies of lymphoma, leukemia (25, 50) , and multiple myeloma (51) where modeling techniques that incorporate outcome and drug response during treatment were used to define tumor types or patient groups and to suggest rational targets for drug therapy or development.	./cache/cord-301218-zsp5sh9o.txt	./txt/cord-301218-zsp5sh9o.txt