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BMCBI
2010
118views more  BMCBI 2010»
14 years 9 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
111
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BMCBI
2007
128views more  BMCBI 2007»
14 years 9 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
77
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DATE
2003
IEEE
135views Hardware» more  DATE 2003»
15 years 2 months ago
Creating Value Through Test
Test is often seen as a necessary evil; it is a fact of life that ICs have manufacturing defects and those need to be filtered out by testing before the ICs are shipped to the cu...
Erik Jan Marinissen, Bart Vermeulen, Robert Madge,...
BMCBI
2006
103views more  BMCBI 2006»
14 years 9 months ago
Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequili
Background: The discovery of cis-regulatory motifs still remains a challenging task even though the number of sequenced genomes is constantly growing. Computational analyses using...
Kenneth W. Berendzen, Kurt Stüber, Klaus Hart...
BMCBI
2005
89views more  BMCBI 2005»
14 years 9 months ago
Theme discovery from gene lists for identification and viewing of multiple functional groups
Background: High throughput methods of the genome era produce vast amounts of data in the form of gene lists. These lists are large and difficult to interpret without advanced com...
Petri Pehkonen, Garry Wong, Petri Töröne...