Blomstedt, Paul, Dutta, Ritabrata, Seth, Sohan, Brazma, Alvis and Kaski, Samuel (2016) Modelling-based experiment retrieval : a case study with gene expression clustering. Bioinformatics, 32 (9). pp. 1388-1394. doi:10.1093/bioinformatics/btv762 ISSN 1367-4803.

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Abstract

Motivation: Public and private repositories of experimental data are growing to sizes that require dedicated methods for finding relevant data. To improve on the state of the art of keyword searches from annotations, methods for content-based retrieval have been proposed. In the context of gene expression experiments, most methods retrieve gene expression profiles, requiring each experiment to be expressed as a single profile, typically of case versus control. A more general, recently suggested alternative is to retrieve experiments whose models are good for modelling the query dataset. However, for very noisy and high-dimensional query data, this retrieval criterion turns out to be very noisy as well.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Science > Statistics
Journal or Publication Title:	Bioinformatics
Publisher:	Oxford University Press
ISSN:	1367-4803
Official Date:	1 May 2016
Dates:	Date Event 1 May 2016 Published 6 January 2016 Available 28 December 2015 Accepted
Volume:	32
Number:	9
Page Range:	pp. 1388-1394
DOI:	10.1093/bioinformatics/btv762
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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