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» Constraint Based Methods for Biological Sequence Analysis
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156
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BMCBI
2006
207views more  BMCBI 2006»
15 years 3 months ago
A new measure for functional similarity of gene products based on Gene Ontology
Background: Gene Ontology (GO) is a standard vocabulary of functional terms and allows for coherent annotation of gene products. These annotations provide a basis for new methods ...
Andreas Schlicker, Francisco S. Domingues, Jö...
133
Voted
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
15 years 10 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
124
Voted
ICPR
2004
IEEE
16 years 4 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
132
Voted
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
15 years 10 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara
143
Voted
SAC
2004
ACM
15 years 9 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...