Work

Epigenome Prediction of Gene Expression using a Dynamical System Approach

Year: 2020

Type: article

Abstract: Supplemental material for the manuscript describing a dynamical systems approach to predicting gene expression from epigenetic data (i.e., DNA methylation) and a gene regulatory network. The software for the method is available at: https://github.com/kordk/stoch_epi_lib

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.3970969

Authors: Brunner, James, Kim, Jacob, Downing, Timothy, Mjolsness, Eric, Kober, Kord

Institutions: Mayo Clinic, Columbia University, University of California, Irvine, University of California, San Francisco

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W3046282262

FWCI:

Cites: 26

Cited by:

Related to: 10