Hayran A.Ogul H.Ozkoc E.2019-10-262019-10-26201497814799572241529-41881529-4188https://doi.org/10.1109/DEXA.2014.33https://hdl.handle.net/11454/1766825th International Workshop on Database and Expert Systems Applications, DEXA 2014 -- 1 September 2014 through 4 September 2014 -- 109555We study, for the first time, the problem of content-based searching of time-series microarray experiments in large-scale gene expression databases. The problem is approached as an information retrieval task where an entire ex-periment is taken as the query and searched through a collection of previous experiments. The relevant experiments are required to be retrieved based on the content similarity rather than their meta-data descriptions. A comparison of different fingerprinting and distance computation schemes is presented over a retrieval framework based on the differential expression of genes in varying time points. © 2014 IEEE.en10.1109/DEXA.2014.33info:eu-repo/semantics/closedAccessbiological information retrievalcontent-based searchgene expression databasemicroarraytime-course datatime-series profileConference Object8993N/A