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NIPS
1997
13 years 9 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
GRC
2010
IEEE
13 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
BISMA - Fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences
Background: Bisulfite sequencing is a popular method to analyze DNA methylation patterns at high resolution. A region of interest is targeted by PCR and about 20-50 subcloned DNA ...
Christian Rohde, Yingying Zhang, Richard Reinhardt...
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Methodology capture: discriminating between the "best" and the rest of community practice
Background: The methodologies we use both enable and help define our research. However, as experimental complexity has increased the choice of appropriate methodologies has become...
James M. Eales, John W. Pinney, Robert D. Stevens,...
BMCBI
2007
166views more  BMCBI 2007»
13 years 7 months ago
PathFinder: mining signal transduction pathway segments from protein-protein interaction networks
Background: A Signal transduction pathway is the chain of processes by which a cell converts an extracellular signal into a response. In most unicellular organisms, the number of ...
Gürkan Bebek, Jiong Yang