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GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
14 years 27 days ago
The evolutionary computation approach to motif discovery in biological sequences
Finding motifs — patterns of conserved residues — within nucleotide and protein sequences is a key part of understanding function and regulation within biological systems. Thi...
Michael A. Lones, Andrew M. Tyrrell
BMCBI
2010
227views more  BMCBI 2010»
13 years 7 months ago
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage
Background: HIV-1 targets human cells expressing both the CD4 receptor, which binds the viral envelope glycoprotein gp120, as well as either the CCR5 (R5) or CXCR4 (X4) co-recepto...
Majid Masso, Iosif I. Vaisman
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 7 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
TSP
2008
91views more  TSP 2008»
13 years 7 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...
IJIT
2004
13 years 8 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi