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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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NIPS
2003
13 years 9 months ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...
BIOINFORMATICS
2006
120views more  BIOINFORMATICS 2006»
13 years 8 months ago
Comparison of Affymetrix GeneChip expression measures
Motivation: In the Affymetrix GeneChip system, preprocessing occurs before one obtains expression level measurements. Because the number of competing preprocessing methods was lar...
Rafael A. Irizarry, Zhijin Wu, Harris A. Jaffee
BMCBI
2007
104views more  BMCBI 2007»
13 years 8 months ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...
BMCBI
2005
106views more  BMCBI 2005»
13 years 7 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 8 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo