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» Clustering Genes Using Heterogeneous Data Sources
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BMCBI
2008
121views more  BMCBI 2008»
15 years 3 months ago
OntoDas - a tool for facilitating the construction of complex queries to the Gene Ontology
Background: Ontologies such as the Gene Ontology can enable the construction of complex queries over biological information in a conceptual way, however existing systems to do thi...
Kieran O'Neill, Alexander García Castro, An...
125
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HIPS
1998
IEEE
15 years 7 months ago
Parallel and Distributed Programming with Pthreads and Rthreads
This paper describes Rthreads (Remote threads), a software distributed shared memory system that supports sharing of global variables on clusters of computers with physically dist...
Bernd Dreier, Markus Zahn, Theo Ungerer
ISBRA
2007
Springer
15 years 9 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
ECML
2004
Springer
15 years 8 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
BMCBI
2004
206views more  BMCBI 2004»
15 years 2 months ago
Combining gene expression data from different generations of oligonucleotide arrays
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
Kyu Baek Hwang, Sek Won Kong, Steven A. Greenberg,...