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BMCBI
2004
158views more  BMCBI 2004»
15 years 6 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
BMCBI
2010
108views more  BMCBI 2010»
15 years 6 months ago
iGTP: A software package for large-scale gene tree parsimony analysis
Background: The ever-increasing wealth of genomic sequence information provides an unprecedented opportunity for large-scale phylogenetic analysis. However, species phylogeny infe...
Ruchi Chaudhary, Mukul S. Bansal, André Weh...
SIGMOD
2009
ACM
136views Database» more  SIGMOD 2009»
16 years 7 months ago
A comparison of approaches to large-scale data analysis
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
CSE
2009
IEEE
16 years 1 months ago
First Steps to Netviz Nirvana: Evaluating Social Network Analysis with NodeXL
—Social Network Analysis (SNA) has evolved as a popular, standard method for modeling meaningful, often hidden structural relationships in communities. Existing SNA tools often i...
Elizabeth M. Bonsignore, Cody Dunne, Dana Rotman, ...
ICASSP
2009
IEEE
16 years 1 months ago
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing...