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» A Transcriptional Approach to Gene Clustering
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ECML
2005
Springer
14 years 11 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
BMCBI
2007
105views more  BMCBI 2007»
14 years 10 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...
BMCBI
2010
139views more  BMCBI 2010»
14 years 10 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
BMCBI
2004
106views more  BMCBI 2004»
14 years 9 months ago
ESTIMA, a tool for EST management in a multi-project environment
Background: Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags...
Charu G. Kumar, Richard LeDuc, George Gong, Levan ...
BMCBI
2008
158views more  BMCBI 2008»
14 years 10 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...