GitHub

A collection of functions and tools to analyze Boolean gene regulatory networks

This repository contains code to perform the analyses described in the paper "A meta-analysis of Boolean network models reveals design principles of gene regulatory networks", published in 2024 in ...
IEEE

Function Perturbation Impact on Feedback Stabilization of Boolean Control Networks

Abstract: Function perturbation analysis of Boolean networks is an important topic in the study of gene regulation due to gene mutation or immeasurable variables. This brief studies the function ...
GitHub

Make your functions return something meaningful, typed, and safe!

We also recommend to use the same mypy settings we use, which you'll find in the [tool.mypy] sections in our pyproject.toml file. Make sure you know how to get started, check out our docs! Try our ...
IEEE

Pseudo-Boolean Functions for Optimal Z-Complementary Code Sets With Flexible Lengths

Abstract: This paper aims to construct optimal Z-complementary code set (ZCCS) with non-power-of-two (NPT) lengths to enable interference-free multicarrier code-division multiple access (MC-CDMA) ...