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» A Machine-Learning Strategy for Protein Analysis
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EXPERT
2002
55views more  EXPERT 2002»
13 years 4 months ago
A Machine-Learning Strategy for Protein Analysis
Pierre Baldi, Gianluca Pollastri
BMCBI
2008
107views more  BMCBI 2008»
13 years 4 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
BMCBI
2008
173views more  BMCBI 2008»
13 years 4 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...
BMCBI
2006
75views more  BMCBI 2006»
13 years 4 months ago
A machine learning strategy to identify candidate binding sites in human protein-coding sequence
Background: The splicing of RNA transcripts is thought to be partly promoted and regulated by sequences embedded within exons. Known sequences include binding sites for SR protein...
Thomas Down, Bernard Leong, Tim J. P. Hubbard