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BMCBI
2008
173views more  BMCBI 2008»
13 years 8 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
2008
123views more  BMCBI 2008»
13 years 8 months ago
A tree-based conservation scoring method for short linear motifs in multiple alignments of protein sequences
Background: The structure of many eukaryotic cell regulatory proteins is highly modular. They are assembled from globular domains, segments of natively disordered polypeptides and...
Claudia Chica, Alberto Labarga, Cathryn M. Gould, ...
BMCBI
2006
216views more  BMCBI 2006»
13 years 8 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
BMCBI
2011
13 years 2 months ago
OrthoInspector: comprehensive orthology analysis and visual exploration
Background: The accurate determination of orthology and inparalogy relationships is essential for comparative sequence analysis, functional gene annotation and evolutionary studie...
Benjamin Linard, Julie D. Thompson, Olivier Poch, ...
WWW
2011
ACM
13 years 2 months ago
Context-sensitive query auto-completion
Query auto completion is known to provide poor predictions of the user’s query when her input prefix is very short (e.g., one or two characters). In this paper we show that con...
Ziv Bar-Yossef, Naama Kraus