157 search results - page 5 / 32 » Applying Discrete PCA in Data Analysis |
BMCBI
2010
13 years 7 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
BMCBI
2007
13 years 7 months ago
2007
Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analys...
ICCSA
2003
Springer
14 years 19 days ago
2003
Springer
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
CG
2004
Springer
13 years 7 months ago
2004
Springer
We describe a compression scheme for the geometry component of 3D animation sequences. This scheme is based on the principle component analysis (PCA) method, which represents the ...
BMCBI
2011
12 years 11 months ago
2011
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...