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BMCBI
2006
164views more  BMCBI 2006»
15 years 4 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
BMCBI
2007
215views more  BMCBI 2007»
15 years 4 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
MCS
2008
Springer
15 years 4 months ago
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations
A stochastic numerical scheme for an extended immersed boundary method which incorporates thermal fluctuations for the simulation of microscopic biological systems consisting of fl...
Paul J. Atzberger, Peter R. Kramer
SYNTHESE
2008
131views more  SYNTHESE 2008»
15 years 3 months ago
A new formulation of the Principle of Indifference
This article goes to the foundations of Statistical Inference through a review of Carnap's logic theory of induction. From this point of view, it brings another solution to t...
Rodolfo de Cristofaro
BMCBI
2005
124views more  BMCBI 2005»
15 years 3 months ago
Evaluating concentration estimation errors in ELISA microarray experiments
Background: Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format perm...
Don Simone Daly, Amanda M. White, Susan M. Varnum,...