Finding Temporal Gene Expression Patterns for Translational Research
School of Computing and Information Systems
Padnos College of Engineering and Computing
Translational research of time-series of gene-expression microarray datasets makes use on gene expression profiles that have been obtained at different points in time. Our web-based multi-user program helps a researcher find temporal patterns like peaks in large pre-selected microarray data sets that include data from different but related studies in publicly available databases. If all studies use the same platform, data can be combined for a meta-analysis type approach. For combination of data from different platforms we focus on the Affymetrix GeneChip. To search for the patterns, the data are transformed into an abstract layer that is independent from the particular selection of time point in the individual studies.
Tusch, Guenter; Tolea, Olvi; Kutsumia, Yuka; Sama, Vincent K.; and Mamidia, Lakshmi, "Finding Temporal Gene Expression Patterns for Translational Research" (2014). Faculty Scholarly Dissemination Grants. 728.