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BMCBI
2008
128views more  BMCBI 2008»
14 years 11 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
BMCBI
2008
173views more  BMCBI 2008»
14 years 11 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...
CIKM
2010
Springer
14 years 10 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
ICPPW
2009
IEEE
14 years 9 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
TKDE
2011
330views more  TKDE 2011»
14 years 6 months ago
Effective Navigation of Query Results Based on Concept Hierarchies
— Search queries on biomedical databases, such as PubMed, often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization...
Abhijith Kashyap, Vagelis Hristidis, Michalis Petr...