Modeling and simulation of genetic regulatory systems: a literature review
H De Jong - Journal of computational biology, 2002 - liebertpub.com
In order to understand the functioning of organisms on the molecular level, we need to know
which genes are expressed, when and where in the organism, and to which extent. The …
which genes are expressed, when and where in the organism, and to which extent. The …
Computational systems biology
H Kitano - Nature, 2002 - nature.com
To understand complex biological systems requires the integration of experimental and
computational research—in other words a systems biology approach. Computational …
computational research—in other words a systems biology approach. Computational …
Dynamic linear models with Markov-switching
CJ Kim - Journal of econometrics, 1994 - Elsevier
In this paper, Hamilton's (1988, 1989) Markov-switching model is extended to a general
state-space model. This paper also complements Shumway and Stoffer's (1991) dynamic …
state-space model. This paper also complements Shumway and Stoffer's (1991) dynamic …
Gene regulatory network inference: data integration in dynamic models—a review
Systems biology aims to develop mathematical models of biological systems by integrating
experimental and theoretical techniques. During the last decade, many systems biological …
experimental and theoretical techniques. During the last decade, many systems biological …
Genetic network inference: from co-expression clustering to reverse engineering
Abstract motivation: Advances in molecular biological, analytical and computational
technologies are enabling us to systematically investigate the complex molecular processes …
technologies are enabling us to systematically investigate the complex molecular processes …
Single-cell analysis of chromatin accessibility in the adult mouse brain
Recent advances in single-cell technologies have led to the discovery of thousands of brain
cell types; however, our understanding of the gene regulatory programs in these cell types is …
cell types; however, our understanding of the gene regulatory programs in these cell types is …
Dynamics of chaotic waterwheel model with the asymmetric flow within the frame of Caputo fractional operator
The chaotic waterwheel model is a mechanical model that exhibits chaos and is also a
practical system that justifies the Lorenz system. The chaotic waterwheel model (or Malkus …
practical system that justifies the Lorenz system. The chaotic waterwheel model (or Malkus …
TIGRESS: trustful inference of gene regulation using stability selection
Background Inferring the structure of gene regulatory networks (GRN) from a collection of
gene expression data has many potential applications, from the elucidation of complex …
gene expression data has many potential applications, from the elucidation of complex …
Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
D Husmeier - Bioinformatics, 2003 - academic.oup.com
Motivation: Bayesian networks have been applied to infer genetic regulatory interactions
from microarray gene expression data. This inference problem is particularly hard in that …
from microarray gene expression data. This inference problem is particularly hard in that …
A review on the computational approaches for gene regulatory network construction
Many biological research areas such as drug design require gene regulatory networks to
provide clear insight and understanding of the cellular process in living cells. This is …
provide clear insight and understanding of the cellular process in living cells. This is …