Most expressed sequences

An algorithm to infer similarity among cell types and organisms by examining the most expressed sequences

S. A. P. Pinto and Ortega, J. M., An algorithm to infer similarity among cell types and organisms by examining the most expressed sequences, vol. 7, pp. 933-947, 2008.

Following sequence alignment, clustering algorithms are among the most utilized techniques in gene expression data analysis. Clustering gene expression patterns allows researchers to determine which gene expression patterns are alike and most likely to participate in the same biological process being investigated. Gene expression data also allow the clustering of whole samples of data, which makes it possible to find which samples are similar and, consequently, which sampled biological conditions are alike.

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