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CMSB
2007
Springer
16 years 28 days ago
A Unifying Framework for Modelling and Analysing Biochemical Pathways Using Petri Nets
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...
David Gilbert, Monika Heiner, Sebastian Lehrack
NIPS
2003
15 years 8 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
JSAC
2006
102views more  JSAC 2006»
15 years 6 months ago
A deterministic frequency-domain model for the indoor power line transfer function
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
S. Galli, Thomas C. Banwell
BMCBI
2008
154views more  BMCBI 2008»
15 years 6 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
BMCBI
2006
159views more  BMCBI 2006»
15 years 6 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey