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» Mining Phenotypes for Protein Function Prediction
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BMCBI
2005
117views more  BMCBI 2005»
13 years 7 months ago
An evaluation of GO annotation retrieval for BioCreAtIvE and GOA
Background: The Gene Ontology Annotation (GOA) database http://www.ebi.ac.uk/GOA aims to provide high-quality supplementary GO annotation to proteins in the UniProt Knowledgebase....
Evelyn Camon, Daniel Barrell, Emily Dimmer, Vivian...
BMCBI
2006
136views more  BMCBI 2006»
13 years 7 months ago
Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Aijazuddin Syed, Chris Upton
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 4 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
ROCAI
2004
Springer
14 years 22 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer