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BMCBI
2010
165views more  BMCBI 2010»
14 years 10 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
BMCBI
2010
133views more  BMCBI 2010»
14 years 10 months ago
Predicting enzyme targets for cancer drugs by profiling human Metabolic reactions in NCI-60 cell lines
Background: Drugs can influence the whole metabolic system by targeting enzymes which catalyze metabolic reactions. The existence of interactions between drugs and metabolic react...
Limin Li, Xiaobo Zhou, Wai-Ki Ching, Ping Wang
BMCBI
2007
127views more  BMCBI 2007»
14 years 10 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
CIKM
2005
Springer
15 years 3 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
PR
2006
116views more  PR 2006»
14 years 9 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli