Stable Gene Regulatory Network Modeling From Steady-State Data
نویسندگان
چکیده
منابع مشابه
Stable Gene Regulatory Network Modeling From Steady-State Data †
Gene regulatory networks represent an abstract mapping of gene regulations in living cells. They aim to capture dependencies among molecular entities such as transcription factors, proteins and metabolites. In most applications, the regulatory network structure is unknown, and has to be reverse engineered from experimental data consisting of expression levels of the genes usually measured as me...
متن کاملReconstruction of gene regulatory networks from steady state data
Genes are connected in regulatory networks, often modelled by ordinary differential equations. Changes in expression of a gene propagate to other genes along paths in the network. At a stable state, the system’s Jacobian matrix confers information about network connectivity. To disclose the functional properties of genes, knowledge of network connections is essential. We present a new method to...
متن کاملInferring stable genetic networks from steady-state data
Gene regulatory networks capture the interactions between genes and other cell substances, resulting from the fundamental biological process of transcription and translation. In some applications, the topology of the regulatory network is not known, and has to be inferred from experimental data. The experimental data consist of expression levels of the genes, which are typically measured as mRN...
متن کاملGene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors.
The reconstruction of gene regulatory networks from gene expression data has been the subject of intense research activity. A variety of models and methods have been developed to address different aspects of this important problem. However, these techniques are narrowly focused on particular biological and experimental platforms, and require experimental data that are typically unavailable and ...
متن کاملNetwork reconstruction based on steady-state data.
This paper discusses a theoretical method for the "reverse engineering" of networks based solely on steady-state (and quasi-steady-state) data.
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: Bioengineering
سال: 2016
ISSN: 2306-5354
DOI: 10.3390/bioengineering3020012