Matlab code for Bayesian Network Component Analysis
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Updated
Nov 11, 2015 - MATLAB
Matlab code for Bayesian Network Component Analysis
Imoto, H. & Okada, M. Signal-dependent regulation of early-response genes and cell cycle: a quantitative view. Curr. Opin. Syst. Biol. 15, 100–108 (2019).
Python implementation for René Thomas's Framework
The (rendered) website of the Resendis lab. Do not send PRs here! Use https://github.com/resendislab/website instead!
Multi-dimensional, trans-omics metabolic maps.
The modeling code used for Manole et al, Canc Res, 2016.
Accessory R functions to support DBSolveOptimum
Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.
Parameter Estimation of ODE/DDE Models in Julia
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
Software developed and main results obtained in the Master dissertation: A model validation pipeline for healthy tissue genome-scale metabolic models. Dissertation link to be added.
A demo repository with example code for using the Systems Biology Simulation Core Library (SBSCL).
BraneMF: Integration of Biological Networks for Functional Analysis of Proteins
Command-line program and scheduled GitHub action for publishing the BiGG model repository to BioSimulations
The package is plugin for Visual Studio Code editor to highlight Heta language code.
Context-sensitive creation of kinetic equations in biochemical networks
Inferring patient-specific regulatory alterations
Package for modeling glycolysis activity
The Matlab tool for Prediction Uncertainty Analysis (PUA) integrates Profile Likelihood analysis with Bayesian sampling.
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