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BMCBI
2008
92views more  BMCBI 2008»
15 years 7 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
BMCBI
2006
126views more  BMCBI 2006»
15 years 6 months ago
A joint model of regulatory and metabolic networks
Background: Gene regulation and metabolic reactions are two primary activities of life. Although many works have been dedicated to study each system, the coupling between them is ...
Chen-Hsiang Yeang, Martin Vingron
JCB
2006
114views more  JCB 2006»
15 years 6 months ago
A General Modeling Strategy for Gene Regulatory Networks with Stochastic Dynamics
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
Andre Ribeiro, Rui Zhu, Stuart A. Kauffman
PAMI
2008
161views more  PAMI 2008»
15 years 6 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
JSS
2000
86views more  JSS 2000»
15 years 6 months ago
Quantitative analysis of static models of processes
The upstream activities of software development projects are often viewed as both the most important, the least understood, and hence the most problematic. This is particularly no...
Keith Phalp, Martin J. Shepperd