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AEI
2004
114views more  AEI 2004»
13 years 6 months ago
Physical concept ontology for the knowledge intensive engineering framework
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...
Masaharu Yoshioka, Yasushi Umeda, Hideaki Takeda, ...
BMCBI
2010
189views more  BMCBI 2010»
13 years 5 months ago
solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database
Background: A common approach to understanding the genetic basis of complex traits is through identification of associated quantitative trait loci (QTL). Fine mapping QTLs require...
Isaak Y. Tecle, Naama Menda, Robert M. Buels, Esth...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 7 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
IMC
2007
ACM
13 years 8 months ago
On optimal probing for delay and loss measurement
Packet delay and loss are two fundamental measures of performance. Using active probing to measure delay and loss typically involves sending Poisson probes, on the basis of the PA...
François Baccelli, Sridhar Machiraju, Darry...
BMCBI
2004
150views more  BMCBI 2004»
13 years 6 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk