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» Clustering Genes Using Heterogeneous Data Sources
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BIOINFORMATICS
2004
99views more  BIOINFORMATICS 2004»
13 years 10 months ago
EST clustering error evaluation and correction
Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
MCS
2009
Springer
14 years 5 months ago
Ensemble Based Data Fusion for Gene Function Prediction
The availability of an ever increasing amount of data sources due to recent advances in high throughput biotechnologies opens unprecedented opportunities for genome-wide gene funct...
Matteo Re, Giorgio Valentini
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
14 years 4 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
BMCBI
2006
115views more  BMCBI 2006»
13 years 11 months ago
MitoRes: a resource of nuclear-encoded mitochondrial genes and their products in Metazoa
Background: Mitochondria are sub-cellular organelles that have a central role in energy production and in other metabolic pathways of all eukaryotic respiring cells. In the last f...
Domenico Catalano, Flavio Licciulli, Antonio Turi,...
BMCBI
2006
153views more  BMCBI 2006»
13 years 11 months ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...