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» Identifying Clusters from Positive Data
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124
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BMCBI
2006
113views more  BMCBI 2006»
15 years 14 days ago
QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...

Publication
279views
16 years 10 months ago
Potential Networking Applications of Global Positioning Systems (GPS)
Global Positioning System (GPS) Technology allows precise determination of location, velocity, direction, and time. The price of GPS receivers is falling rapidly and the applicatio...
G. Dommety and Raj Jain
106
Voted
BIBE
2007
IEEE
129views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
Statistial Analysis of nucleosome occupancy and histone modification data
Abstract-- In eukaryotic cells, genomic DNAs wrap around beadlike molecules, called nucleosomes, so as to pack more compactly in the nucleus of the cell. The nucleosome is made up ...
Guo-Cheng Yuan, Jun S. Liu
126
Voted
IPMI
2003
Springer
16 years 1 months ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time serie...
François G. Meyer, Jatuporn Chinrungrueng
121
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 1 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar