Rapid Reconstruction of Time-Varying Gene Regulatory Networks
نویسندگان
چکیده
منابع مشابه
Towards the Reconstruction of Gene Regulatory Networks
Gene expression data in biology is becoming important as the amount and quality of the data rapidly increases. However, the amount generated can be daunting and its direct interpretation is often difficult. The interaction of the genes and the number involved can be large. Is there a dynamical system at play? This paper discusses modeling gene expression data as a computational reconstruction o...
متن کاملImprovements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes
METHOD Dynamic Bayesian networks (DBNs) have been applied widely to reconstruct the structure of regulatory processes from time series data, and they have established themselves as a standard modelling tool in computational systems biology. The conventional approach is based on the assumption of a homogeneous Markov chain, and many recent research efforts have focused on relaxing this restricti...
متن کاملAlgorithms for gene regulatory networks reconstruction
Gene regulatory network (GRN) inference is a central problem in systems biology, that has been attracting a lot of research efforts recently. Perturbation experiments, in which the activity of some genes is suppressed, are one of the main tools to tackle the problem. Modern technologies allow biologists to collect large amounts of data about perturbation experiments on molecular level. This dat...
متن کاملFINITE-TIME PASSIVITY OF DISCRETE-TIME T-S FUZZY NEURAL NETWORKS WITH TIME-VARYING DELAYS
This paper focuses on the problem of finite-time boundedness and finite-time passivity of discrete-time T-S fuzzy neural networks with time-varying delays. A suitable Lyapunov--Krasovskii functional(LKF) is established to derive sufficient condition for finite-time passivity of discrete-time T-S fuzzy neural networks. The dynamical system is transformed into a T-S fuzzy model with uncertain par...
متن کاملEstimating time-varying directed gene regulation networks.
The problem of modeling the dynamical regulation process within a gene network has been of great interest for a long time. We propose to model this dynamical system with a large number of nonlinear ordinary differential equations (ODEs), in which the regulation function is estimated directly from data without any parametric assumption. Most current research assumes the gene regulation network i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Computational Biology and Bioinformatics
سال: 2020
ISSN: 1545-5963,1557-9964,2374-0043
DOI: 10.1109/tcbb.2018.2861698