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» Gene set analysis using principal components
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ECCV
2000
Springer
16 years 1 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
BMCBI
2008
187views more  BMCBI 2008»
14 years 12 months ago
PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes
Background: The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved...
Christine Fong, Laurence Rohmer, Matthew Radey, Mi...
ICML
2006
IEEE
16 years 20 days ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
DAC
2004
ACM
16 years 25 days ago
STAC: statistical timing analysis with correlation
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
Jiayong Le, Xin Li, Lawrence T. Pileggi
BMCBI
2006
148views more  BMCBI 2006»
14 years 12 months ago
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...