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BMCBI
2006
103views more  BMCBI 2006»
13 years 11 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
14 years 5 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
IJRR
2000
121views more  IJRR 2000»
13 years 10 months ago
Reconstructing the Shape of a Deformable Membrane from Image Data
In this paper, we study the problem of determining a mathematical description of the surface defined by the shape of a membrane based on an image of it and present an algorithm fo...
Nicola J. Ferrier, Roger W. Brockett
CIKM
1997
Springer
14 years 3 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
14 years 4 months ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...