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TNN
2008
128views more  TNN 2008»
13 years 7 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
BMCBI
2010
144views more  BMCBI 2010»
13 years 7 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
14 years 1 months ago
Disease progression modeling from historical clinical databases
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
Ronald K. Pearson, Robert J. Kingan, Alan Hochberg
SIAMAM
2008
170views more  SIAMAM 2008»
13 years 7 months ago
Absolute Stability and Complete Synchronization in a Class of Neural Fields Models
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
Olivier D. Faugeras, François Grimbert, Jea...
BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
PedGenie: meta genetic association testing in mixed family and case-control designs
Background-: PedGenie software, introduced in 2006, includes genetic association testing of cases and controls that may be independent or related (nuclear families or extended ped...
Karen Curtin, Jathine Wong, Kristina Allen-Brady, ...