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» Clustering via Matrix Powering
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ISBI
2011
IEEE
13 years 2 months ago
Hierarchical clustering of the genetic connectivity matrix reveals the network topology of gene action on brain microstructure:
Genetic correlation (rg) analysis determines how much of the correlation between two measures is due to common genetic influences. In an analysis of 4 Tesla diffusion tensor image...
Ming-Chang Chiang, Marina Barysheva, Katie McMahon...
BMCBI
2011
13 years 5 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
BMCBI
2008
166views more  BMCBI 2008»
13 years 11 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
BMCBI
2006
119views more  BMCBI 2006»
13 years 10 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
ICML
2008
IEEE
14 years 11 months ago
Multi-classification by categorical features via clustering
We derive a generalization bound for multiclassification schemes based on grid clustering in categorical parameter product spaces. Grid clustering partitions the parameter space i...
Yevgeny Seldin, Naftali Tishby