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BMCBI
2010
144views more  BMCBI 2010»
15 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...
BMCBI
2004
151views more  BMCBI 2004»
15 years 6 months ago
A computational approach for ordering signal transduction pathway components from genomics and proteomics Data
Background: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapp...
Yin Liu, Hongyu Zhao
CVPR
2003
IEEE
16 years 8 months ago
Independent Component Analysis in a Facial Local Residue Space
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
BMCBI
2006
129views more  BMCBI 2006»
15 years 6 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
ICST
2009
IEEE
16 years 1 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams