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» Clustering cancer gene expression data: a comparative study
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BMCBI
2008
118views more  BMCBI 2008»
13 years 4 months ago
Kismeth: Analyzer of plant methylation states through bisulfite sequencing
Background: There is great interest in probing the temporal and spatial patterns of cytosine methylation states in genomes of a variety of organisms. It is hoped that this will sh...
Eyal Gruntman, Yijun Qi, R. Keith Slotkin, Ted Roe...
BMCBI
2010
202views more  BMCBI 2010»
13 years 4 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader
ISPAN
2009
IEEE
13 years 11 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
BMCBI
2007
103views more  BMCBI 2007»
13 years 4 months ago
A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance
Background: The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR). Recently...
Shunpu Zhang
BMCBI
2008
129views more  BMCBI 2008»
13 years 4 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer