Visualizing and clustering high throughput sub-cellular localization imaging

Hamilton, Nicholas. A. and Teasdale, Rohan D. (2008) Visualizing and clustering high throughput sub-cellular localization imaging. BMC Bioinformatics, 9 Article # 81: 1-12. doi:10.1186/1471-2105-9-81


Author Hamilton, Nicholas. A.
Teasdale, Rohan D.
Title Visualizing and clustering high throughput sub-cellular localization imaging
Journal name BMC Bioinformatics   Check publisher's open access policy
ISSN 1471-2105
Publication date 2008-02-04
Year available 2008
Sub-type Article (original research)
DOI 10.1186/1471-2105-9-81
Open Access Status DOI
Volume 9
Issue Article # 81
Start page 1
End page 12
Total pages 12
Place of publication London
Publisher BioMed Central
Language eng
Subject 060102 Bioinformatics
970106 Expanding Knowledge in the Biological Sciences
C1
Abstract The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of image data between samples we need to define the normal variation within distinct images of the same sample.
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
Institute for Molecular Bioscience - Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Wed, 04 Mar 2009, 01:32:12 EST by Cody Mudgway on behalf of Institute for Molecular Bioscience