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Output details

11 - Computer Science and Informatics

Edinburgh Napier University

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Output 26 of 46 in the submission
Article title

MaTSE: the gene expression time-series explorer. BMC Bioinformatics, 14(Suppl 19)(S1).

Type
D - Journal article
Title of journal
BMC Bioinformatics (on-line first)
Article number
19
Volume number
14
Issue number
S1
First page of article
-
ISSN of journal
n/a
Year of publication
2013
URL
-
Number of additional authors
3
Additional information

<20> An extended journal paper selected as a Highlight of the 2nd IEEE Symposium on Biological Visualization (6/20 accepted papers) This work results from 5 year interdisciplinary project with biologists from the University of Edinburgh University and CRX Ltd Dundee, to help biologists understand the genes involved in embryo development. The technique uniquely supports pattern discovery in massive multivariate time series data when the user does not know in advance what to look for and where clustering in statistics misses patterns within the time series. The technique has been applied in visual analytic domains including online games analysis.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-