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SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 6 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 6 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
SODA
1996
ACM
157views Algorithms» more  SODA 1996»
15 years 6 months ago
Routing and Admission Control in General Topology Networks with Poisson Arrivals
Emerging high speed networks will carry tra c for services such as video-on-demand and video teleconferencing that require resource reservation along the path on which the tra c i...
Anil Kamath, Omri Palmon, Serge A. Plotkin
SODA
1992
ACM
252views Algorithms» more  SODA 1992»
15 years 6 months ago
A General Approximation Technique for Constrained Forest Problems
We present a general approximation technique for a large class of graph problems. Our technique mostly applies to problems of covering, at minimum cost, the vertices of a graph wit...
Michel X. Goemans, David P. Williamson
BMCBI
2010
146views more  BMCBI 2010»
15 years 5 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
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