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» Novel iteration schemes for the Cluster Variation Method
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BMCBI
2004
181views more  BMCBI 2004»
13 years 9 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
2006
117views more  BMCBI 2006»
13 years 9 months ago
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees
Background: Computing exact multipoint LOD scores for extended pedigrees rapidly becomes infeasible as the number of markers and untyped individuals increase. When markers are exc...
Cornelis A. Albers, Martijn A. R. Leisink, Hilbert...
CVPR
2010
IEEE
14 years 6 months ago
Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
Minsu Cho (Seoul National University), Kyoung Mu L...
SIAMIS
2010
147views more  SIAMIS 2010»
13 years 8 months ago
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
Chunlin Wu, Xue-Cheng Tai
BMCBI
2008
142views more  BMCBI 2008»
13 years 10 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...