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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 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
DAGSTUHL
2009
14 years 11 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
BMCBI
2005
117views more  BMCBI 2005»
14 years 10 months ago
HmtDB, a Human Mitochondrial Genomic Resource Based on Variability Studies Supporting Population Genetics and Biomedical Researc
Background: Population genetics studies based on the analysis of mtDNA and mitochondrial disease studies have produced a huge quantity of sequence data and related information. Th...
Marcella Attimonelli, Matteo Accetturo, Monica San...
84
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BMCBI
2006
103views more  BMCBI 2006»
14 years 10 months ago
Meta-All: a system for managing metabolic pathway information
Background: Many attempts are being made to understand biological subjects at a systems level. A major resource for these approaches are biological databases, storing manifold inf...
Stephan Weise, Ivo Grosse, Christian Klukas, Dirk ...
NAR
2006
170views more  NAR 2006»
14 years 10 months ago
The UCSC Genome Browser Database: update 2006
The University of California Santa Cruz Genome Browser Database (GBD) contains sequence and annotation data for the genomes of about a dozen vertebrate species and several major m...
Angela S. Hinrichs, Donna Karolchik, Robert Baerts...