Nonlinear Dynamic Trans/Cis Regulatory Circuit for Gene Transcription via Microarray Data
نویسندگان
چکیده
منابع مشابه
Nonlinear Dynamic Trans/Cis Regulatory Circuit for Gene Transcription via Microarray Data
The trans-regulatory circuit is considered as the regulatory interactions between upstream regulatory genes and transcription factor binding site motifs or cis elements. And the cis-regulatory circuit is viewed as a dynamic interactive circuit among binding site motifs with their effective action on the expression scheme of target gene. In brief, gene transcription depends on the trans/cis regu...
متن کاملIdentifying a dynamic model for gene regulatory network via microarray data
After constructing the stochastic dynamic gene regulatory equation (1) to model the regulation of a target gene by their transcription regulators in the rough gene regulatory network, we use the method of maximum likelihood to estimate the kinetic parameter of dynamic gene regulatory model. Equation (1) can be written in the following form. 1 1 [ 1] [ ] [ ] [ ] 1 [ ] [ ] [ ] L L a b y t y t...
متن کاملConstruction and Clarification of Dynamic Gene Regulatory Network of Cancer Cell Cycle via Microarray Data
BACKGROUND Cell cycle is an important clue to unravel the mechanism of cancer cells. Recently, expression profiles of cDNA microarray data of Cancer cell cycle are available for the information of dynamic interactions among Cancer cell cycle related genes. Therefore, it is more appealing to construct a dynamic model for gene regulatory network of Cancer cell cycle to gain more insight into the ...
متن کاملInferring Gene Regulatory Networks from Microarray Data Based on Transcription Factor Analysis and Conditional Independency
Shih-Wu Cheng Hsiang-Yuan Yeh Yu-Chun Lin Shih-Fang Lin Von-Wun Soo Department of Computer Science, National Tsing Hua University, HsinChu 300, Taiwan Institute of Information Systems and Applications, National Tsing Hua University, HsinChu 300, Taiwan Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan Abstract-We present a comput...
متن کاملEstimation of nonlinear gene regulatory networks via L1 regularized NVAR from time series gene expression data.
Recently, nonlinear vector autoregressive (NVAR) model based on Granger causality was proposed to infer nonlinear gene regulatory networks from time series gene expression data. Since NVAR requires a large number of parameters due to the basis expansion, the length of time series microarray data is insufficient for accurate parameter estimation and we need to limit the size of the gene set stro...
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: Gene Regulation and Systems Biology
سال: 2007
ISSN: 1177-6250,1177-6250
DOI: 10.1177/117762500700100014