Published August 3, 2020
| Version v1
Journal article
Open
Epigenome Prediction of Gene Expression using a Dynamical System Approach
Authors/Creators
- 1. Center for Individualized Medicine Microbiome Program, Mayo Clinic, Rochester, MN, USA
- 2. Department of Biological Sciences, Columbia University, New York, NY, USA
- 3. The Henry Samueli School of Engineering, University of California Irvine, Irvine, CA, USA
- 4. Departments of Computer Science and Mathematics, University of California Irvine, Irvine, CA, USA
- 5. Department of Physiological Nursing and Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA
Description
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