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» Relative survival analysis in R
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BMCBI
2010
125views more  BMCBI 2010»
13 years 6 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
BMCBI
2010
95views more  BMCBI 2010»
13 years 6 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
GI
2003
Springer
13 years 12 months ago
An Integrated Approach to Survivability Analysis of Large Complex Critical Infrastructures
: The integrated approach for analysis of Large Complex Critical Infrastructures (LCCIs) to afford survivability aimed at preparing a Roadmap for Research and Development for criti...
Sandro Bologna, Thomas Beer
BMCBI
2008
242views more  BMCBI 2008»
13 years 6 months ago
annot8r: GO, EC and KEGG annotation of EST datasets
Background: The expressed sequence tag (EST) methodology is an attractive option for the generation of sequence data for species for which no completely sequenced genome is availa...
Ralf Schmid, Mark L. Blaxter
CSCW
2010
ACM
14 years 3 months ago
An empirical study of critical mass and online community survival
There is general consensus that critical mass at inception ensures the sustained success of online communities. However, no clear understanding of what constitutes such a 'cr...
Daphne R. Raban, Mihai Moldovan, Quentin Jones