Published January 19, 2023
| Version v1
Journal article
Open
Code, datasets, and results for the paper "Inferring gene regulatory networks using transcriptional profiles as dynamical attractors"
Authors/Creators
- 1. University of California, Merced
- 2. Department of Systems Science and Industrial Engineering, Binghamton University (State University of New York)
- 3. Pennsylvania State University
Description
This repository contains the supplemental materials for the study: "Inferring gene regulatory networks using transcriptional profiles as dynamical attractors".
The supplemental materials consist of (1) the code of our evolutionary algorithm, (2) the datasets we used in the study, (3) the raw results of the GRN inferences, and (4) the mata spreadsheet that summarizes the GRN inference results.