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RECOMB
2005
Springer
14 years 7 months ago
Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networks
Abstract. The interpretation of large-scale protein network data depends on our ability to identify significant sub-structures in the data, a computationally intensive task. Here w...
Jacob Scott, Trey Ideker, Richard M. Karp, Roded S...
BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
13 years 7 months ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
NAR
2011
224views Computer Vision» more  NAR 2011»
12 years 10 months ago
KaPPA-View4: a metabolic pathway database for representation and analysis of correlation networks of gene co-expression and meta
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncoverin...
Nozomu Sakurai, Takeshi Ara, Yoshiyuki Ogata, Ryos...
IJCNN
2007
IEEE
14 years 1 months ago
Computational Templates, Neural Network Dynamics, and Symbolic Logic
— The relationship between subsymbolic neural networks and symbolic logical systems is discussed from the point of view of the account of computational science by Paul Humphreys ...
Otto Lappi
BMCBI
2010
233views more  BMCBI 2010»
13 years 7 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...