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» Inference of Sparse Networks with Unobserved Variables. Appl...
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 1 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
RECOMB
2006
Springer
14 years 9 months ago
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes
Abstract. Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription fa...
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam ...
BMCBI
2008
160views more  BMCBI 2008»
13 years 9 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
CORR
2007
Springer
127views Education» more  CORR 2007»
13 years 8 months ago
Attribute Exploration of Discrete Temporal Transitions
Discrete temporal transitions occur in a variety of domains, but this work is mainly motivated by applications in molecular biology: explaining and analyzing observed transcriptome...
Johannes Wollbold
BMCBI
2010
136views more  BMCBI 2010»
13 years 9 months ago
The IronChip evaluation package: a package of perl modules for robust analysis of custom microarrays
Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...
Yevhen Vainshtein, Mayka Sanchez, Alvis Brazma, Ma...