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» A framework for modelling virus gene expression data
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JMLR
2006
79views more  JMLR 2006»
15 years 24 days ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu
101
Voted
ICML
2007
IEEE
16 years 1 months ago
Recovering temporally rewiring networks: a model-based approach
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
109
Voted
CSDA
2007
79views more  CSDA 2007»
15 years 19 days ago
Modelling series of studies with a common structure
Consider the situation where the Structuration des Tableaux à Trois Indices de la Statistique (STATIS) methodology is applied to a series of studies, each study being represented...
Manuela M. Oliveira, João Mexia
111
Voted
BMCBI
2007
197views more  BMCBI 2007»
15 years 28 days ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
97
Voted
BMCBI
2007
114views more  BMCBI 2007»
15 years 28 days ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...