A Novel Genetic Programming Approach for Inferring Gene Regulatory Network

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Inferring a System of Differential Equations for a Gene Regulatory Network by using Genetic Programming

This paper describes an evolutionary method for identifying the gene regulatory network from the observed time series data of the gene’s expression. We use a system of ordinary differential equations as a model of the network and infer their right-hand sides by using Genetic Programming (GP). To explore the search space more effectively in the course of evolution, the least mean square (LMS) me...

متن کامل

Inferring Gene Regulatory Network Structure

Inferring the network structure of gene regulatory networks is one of the most important problems in contemporary bioinformatics. We analyze different methodologies for inferring small to very large sized gene networks. We use the datasets of DREAM 3 in-silico network challenge that is provided online [1]. The challenge involves inferring primarily the network structure from steady state gene e...

متن کامل

A Novel Computational Method for Inferring Dynamic Genetic Regulatory Trajectories

We present a novel method called Time Series Affinity Propagation (TSAP) for inferring regulatory states and trajectories from time series genomic data. This method builds on the Affinity Propagation method of Frey and Dueck [10]. TSAP incorporates temporal constraints to more accurately model the dynamic nature of underlying biological mechanisms. We first apply TSAP to synthetic data and demo...

متن کامل

Identifying Gene Regulatory Network as Differential Equation by Genetic Programming

This paper proposes an evolutionary method of identifying the gene regulatory network represented as a differential equation system. As the technology in DNA micro arrays has developed, large quantities of gene’s expression data are becoming more available. As a result, it is essential to get information as to the gene regulatory network from the observed data of gene’s expression. Among many p...

متن کامل

Inferring the regulatory network behind a gene expression experiment

Transcription factors (TFs) and miRNAs are the most important dynamic regulators in the control of gene expression in multicellular organisms. These regulatory elements play crucial roles in development, cell cycling and cell signaling, and they have also been associated with many diseases. The Regulatory Network Analysis Tool (RENATO) web server makes the exploration of regulatory networks eas...

متن کامل

ذخیره 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: International Journal of Computer Applications

سال: 2015

ISSN: 0975-8887

DOI: 10.5120/21147-4213