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» Predicting Peroxisomal Proteins
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BMCBI
2007
129views more  BMCBI 2007»
13 years 8 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar
BMCBI
2006
107views more  BMCBI 2006»
13 years 8 months ago
A reinforced merging methodology for mapping unique peptide motifs in members of protein families
Background: Members of a protein family often have highly conserved sequences; most of these sequences carry identical biological functions and possess similar three-dimensional (...
Hao-Teng Chang, Tun-Wen Pai, Tan-Chi Fan, Bo-Han S...
BMCBI
2005
114views more  BMCBI 2005»
13 years 8 months ago
Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and stru
Background: Protein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many importa...
Luciano Milanesi, Mauro Petrillo, Leandra Sepe, An...
BMCBI
2010
165views more  BMCBI 2010»
13 years 8 months ago
Multivariate meta-analysis of proteomics data from human prostate and colon tumours
Background: There is a vast need to find clinically applicable protein biomarkers as support in cancer diagnosis and tumour classification. In proteomics research, a number of met...
Lina Hultin Rosenberg, Bo Franzén, Gert Aue...
BMCBI
2008
107views more  BMCBI 2008»
13 years 8 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