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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2008
134views more  BMCBI 2008»
13 years 11 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
BMCBI
2006
119views more  BMCBI 2006»
13 years 11 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
PDP
2010
IEEE
14 years 5 months ago
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of
—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore ...
Pedro Alonso, Ravi Reddy, Alexey L. Lastovetsky
BMCBI
2011
13 years 2 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
DILS
2004
Springer
14 years 4 months ago
Links and Paths through Life Sciences Data Sources
An abundance of biological data sources contain data on classes of scientific entities, such as genes and sequences. Logical relationships between scientific objects are implemen...
Zoé Lacroix, Hyma Murthy, Felix Naumann, Lo...