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» Prediction on Spike Data Using Kernel Algorithms
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BMCBI
2007
162views more  BMCBI 2007»
15 years 2 months ago
Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
122
Voted
WISA
2007
Springer
15 years 8 months ago
Detecting Motifs in System Call Sequences
The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pat...
William O. Wilson, Jan Feyereisl, Uwe Aickelin
112
Voted
GRID
2003
Springer
15 years 7 months ago
Predicting the Performance of Globus Monitoring and Discovery Service (MDS-2) Queries
Resource discovery and monitoring in a distributed Grid environment gives rise to several issues, one of which is the provision of reliable performance and hence, the quality-ofse...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
137
Voted
CDES
2006
97views Hardware» more  CDES 2006»
15 years 4 months ago
Protein Secondary Structure Prediction Accuracy versus Reduction Methods
Predicting protein secondary structure is a key step in determining the 3D structure of a protein that determines its function. The Dictionary of Secondary Structure of Proteins (...
Saad Osman Abdalla Subair, Safaai Deris
188
Voted
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 5 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....