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» Algorithms for Finding Gene Clusters
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BIBM
2008
IEEE
212views Bioinformatics» more  BIBM 2008»
15 years 6 months ago
Analysis of Multiplex Gene Expression Maps Obtained by Voxelation
Background: Gene expression signatures in the mammalian brain hold the key to understanding neural development and neurological disease. Researchers have previously used voxelatio...
Li An, Hongbo Xie, Mark H. Chin, Zoran Obradovic, ...
HPDC
1994
IEEE
15 years 3 months ago
Design and Implementation of Parallel Algorithms for Gene-Finding
Finding genes unequivocally in DNA sequences is one of the key goals of the Human Genome project. The human genome is a 9 billion character long DNA sequence and is estimated to c...
James Puthukattukaran, Suresh Chalasani, Periannan...
BMCBI
2004
181views more  BMCBI 2004»
14 years 11 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
BMCBI
2008
142views more  BMCBI 2008»
14 years 11 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
BMCBI
2010
115views more  BMCBI 2010»
14 years 11 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...