Inference of dynamic networks using time-course data
نویسندگان
چکیده
منابع مشابه
Inference of dynamic networks using time-course data
Cells execute their functions through dynamic operations of biological networks. Dynamic networks delineate the operation of biological networks in terms of temporal changes of abundances or activities of nodes (proteins and RNAs), as well as formation of new edges and disappearance of existing edges over time. Global genomic and proteomic technologies can be used to decode dynamic networks. Ho...
متن کاملBayesian Inference of Genetic Regulatory Networks from Time Series Microarray Data Using Dynamic Bayesian Networks
Reverse engineering of genetic regulatory networks from time series microarray data are investigated. We propose a dynamic Bayesian networks (DBNs) modeling and a full Bayesian learning scheme. The proposed DBN directly models the continuous expression levels and also is associated with parameters that indicate the degree as well as the type of regulations. To learn the network from data, we pr...
متن کاملInference of genetic networks from time course expression data using functional regression with lasso penalty
Statistical inference of genetic regulatory networks is essential for understanding temporal interactions of regulatory elements inside the cells. For inferences of large networks, identification of network structure is typically achieved under the assumption of sparsity of the networks. However, current approaches either have difficulty extending to networks with a large number of genes due to...
متن کاملCombining time DEA scores using a dynamic panel data model
We define a combined DEA score to evaluate efficiency in agricultural research. The production model we propose considers efficiency measurements under variable returns to scale for each year in the period 2012–2017. We postulate a first-order autoregressive process in the presence of covariates, to explain efficiency. Powers of the autocorrelation coefficient estimated assuming a dynamic panel...
متن کاملDynamic Modelling of Microarray Time Course Data
The analysis of gene expression profiles, obtained from DNA microarray experiments, is used to discover relationships between genes and to discern groups of genes involved common processes. The principal aim of this paper is to introduce dynamic modelling of microarray time course data. A novel approach to identify similar gene expression profiles is presented. Using parametric modelling, we de...
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: Briefings in Bioinformatics
سال: 2013
ISSN: 1467-5463,1477-4054
DOI: 10.1093/bib/bbt028