@article {14413,
	title = {A method for the detection of meaningful and reproducible group signatures from gene expression profiles},
	journal = {Journal of Bioinformatics and Computational Biology},
	volume = {9},
	year = {2011},
	month = {2011///},
	pages = {431 - 451},
	abstract = {Gene expression microarrays are commonly used to detect the biological signature of a disease or to gain a better understanding of the underlying mechanism of how a group of drugs treat a specific disease. The outcome of such experiments, e.g. the signature, is a list of differentially expressed genes. Reproducibility across independent experiments remains a challenge. We are interested in creating a method that can detect the shared signature of a group of expression profiles, e.g. a group of samples from individuals with the same disease or a group of drugs that treat the same therapeutic indication. We have developed a novel Weighted Influence {\textemdash} Rank of Ranks (WIMRR) method, and we demonstrate its ability to produce both meaningful and reproducible group signatures.},
	author = {Licamele,L. and Getoor, Lise}
}
