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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 8 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
ISMDA
2004
Springer
14 years 1 months ago
Visualization of Biological Information with Circular Drawings
Being able to clearly visualize clusters of genes provided by gene expressions over a set of samples is of high importance. It gives researchers the ability to create an image of t...
Alkiviadis Symeonidis, Ioannis G. Tollis
ICASSP
2009
IEEE
14 years 2 months ago
Exploring functional connectivity in fMRI via clustering
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering...
Archana Venkataraman, Koene R. A. Van Dijk, Randy ...
CLUSTER
2003
IEEE
14 years 1 months ago
A Case Study of Parallel I/O for Biological Sequence Search on Linux Clusters
In this paper we analyze the I/O access patterns of a widely-used biological sequence search tool and implement two variations that employ parallel-I/O for data access based on PV...
Yifeng Zhu, Hong Jiang, Xiao Qin, David R. Swanson
BMCBI
2006
160views more  BMCBI 2006»
13 years 8 months ago
MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
Background: The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polym...
Leandro Hermida, Olivier Schaad, Philippe Demougin...