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» Gene set analysis using principal components
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132
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ICPR
2010
IEEE
15 years 5 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
125
Voted
BMCBI
2010
164views more  BMCBI 2010»
15 years 3 months ago
Pan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions
Background: The pan-genome of a bacterial species consists of a core and an accessory gene pool. The accessory genome is thought to be an important source of genetic variability i...
Chad Laing, Cody Buchanan, Eduardo N. Taboada, Yon...
145
Voted
CVPR
2007
IEEE
16 years 5 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
116
Voted
RECOMB
2002
Springer
16 years 4 months ago
A dimensionality reduction approach to modeling protein flexibility
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
Miguel L. Teodoro, George N. Phillips, Lydia E. Ka...
132
Voted
EDBT
2008
ACM
166views Database» more  EDBT 2008»
16 years 3 months ago
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics
By comparing genomes among both closely and distally related species, comparative genomics analysis characterizes structures and functions of different genomes in both conserved a...
Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wan...