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Line 154: [[Image:Heatmap.png\|right\|thumb\|Gene expression values from microarray experiments can be represented as [[heat map]]s to visualize the result of data analysis.]] The advent of inexpensive microarray experiments created several specific bioinformatics challenges:<ref>{{Cite journal \|~~last~~last1=Tinker \|~~first~~first1=Anna V. \|last2=Boussioutas \|first2=Alex \|last3=Bowtell \|first3=David D.L. \|date=2006 \|title=The challenges of gene expression microarrays for the study of human cancer ~~\|url=https://doi.org/10.1016/j.ccr.2006.05.001~~ \|journal=Cancer Cell \|volume=9 \|issue=5 \|pages=333–339 \|doi=10.1016/j.ccr.2006.05.001 \|issn=1535-6108\|doi-access=free }}</ref> the multiple levels of replication in experimental design ([[#Experimental design\|Experimental design]]); the number of platforms and independent groups and data format ([[#Standardization\|Standardization]]); the statistical treatment of the data ([[#Data analysis\|Data analysis]]); mapping each probe to the [[mRNA]] transcript that it measures ([[#Annotation\|Annotation]]); the sheer volume of data and the ability to share it ([[#Data warehousing\|Data warehousing]]). === Experimental design ===

DNA microarray: Difference between revisions