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BMCBI
2008
144views more  BMCBI 2008»
15 years 1 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
BMCBI
2005
132views more  BMCBI 2005»
15 years 29 days ago
Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
Gajendra P. S. Raghava, Joon H. Han
132
Voted
TKDE
2010
251views more  TKDE 2010»
14 years 7 months ago
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Bin Cui, Jiakui Zhao, Dongqing Yang
ICASSP
2011
IEEE
14 years 4 months ago
Robust hyperspectral signal unmixing in the presence of correlated noise
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions ...
Masoud Farzam, Soosan Beheshti
113
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KDD
2009
ACM
202views Data Mining» more  KDD 2009»
16 years 1 months ago
Correlated itemset mining in ROC space: a constraint programming approach
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Siegfried Nijssen, Tias Guns, Luc De Raedt