inferring regulatory cellular dynamics
-
Updated
Jan 13, 2026 - Python
#
perturbation-analysis
Here are 18 public repositories matching this topic...
Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".
adversarial-networks adversarial-learning adversarial-examples explainable-artificial-intelligence perturbation-analysis
-
Updated
Sep 8, 2018 - Jupyter Notebook
GRAph Parallel Environment
hpc screening reconfiguration python-package ships risk-management toplogy perturbation-analysis failure-analysis safety-monitoring graph-theory-algorithms interconnected-systems damage-propagation
-
Updated
Apr 24, 2019 - Python
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
dynamical-systems differential-equations lotka-volterra ecological-modelling phase-plane manifolds modeling-dynamic-systems sir-model van-der-pol species-interactions perturbation-analysis biological-modeling morris-lecar
-
Updated
Sep 2, 2022 - R
Perturbational analysis by causality-aware generative model for single-cell RNA-sequencing data
bioinformatics causal-inference treatment-effects batch-effects perturbation-analysis scrna-seq-analysis causal-machine-learning insilico-prediction
-
Updated
Dec 16, 2025 - Python
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
langevin oscillator stochastic-differential-equations stochastic-processes random-walk noise-maps ode-solver langevin-equations langevin-dynamics runge-kutta-methods euler-method non-equilibrium brownian-motion brownian-dynamics langevin-diffusion perturbation-analysis midpoint-method noisy-differential-equations ode-solver-stochastic noisy-systems
-
Updated
Jul 12, 2018 - Python
Illico is a python library performing fast and lightweight wilcoxon rank-sum tests for single-cell RNASeq.
-
Updated
Mar 26, 2026 - Python
A Snakemake workflow and MrBiomics module for performing perturbation analyses of pooled (multimodal) CRISPR screens with sc/snRNA-seq read-out (scCRISPR-seq) powered by the R package Seurat's method Mixscape.
visualization workflow bioinformatics snakemake scrna-seq single-cell biomedical-data-science perturbation-analysis snrna-seq sccrispr-seq
-
Updated
Dec 7, 2025 - R
Agents Don't Always Do What They Think: Measuring Faithfulness in Multi-Step ReAct Agents
robustness perturbation-analysis hotpotqa chain-of-thought faithfulness llm-evaluation react-agent stanford-cs224n
-
Updated
Mar 16, 2026 - Python
A framework to analyze neural network training stability using Lyapunov exponents and perturbation-based trajectory analysis
machine-learning deep-neural-networks deep-learning dynamical-systems nonlinear-dynamics perturbation-analysis lyapunov-exponents
-
Updated
Dec 29, 2025 - Python
Perturbation Analysis for Parabolic Partial Differential Equations
fast-fourier-transform partial-differential-equations finite-difference numerical-methods multiscale-simulation perturbation-analysis
-
Updated
Jun 29, 2018 - Jupyter Notebook
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
deep-learning cnn uncertainty-neural-networks semantic-segmentation adversarial-machine-learning perturbation-analysis
-
Updated
Jan 16, 2018 - Python
Perturbation Analysis of Practical Algorithms for the Maximum Scatter Travelling Salesman Problem @ ALENEX '22
-
Updated
Oct 31, 2021 - C++
Analysis and optimization of an interplanetary mission which consisted in a transfer from Saturn to an asteroid through a flyby with Jupiter, study of a planetary explorer mission for Earth observation
perturbation-analysis orbit-propagation gravity-assist ground-track interplanetary-trajectory lambert-problem
-
Updated
Mar 21, 2026 - MATLAB
PEAR is a Python program that takes advantage of Petri nets and logical conditions to develop a screening tool aimed at studying the effect of perturbations in interconnected systems.
petri-nets screening python-package interconnection perturbation-analysis safety-monitoring damage-propagation
-
Updated
May 6, 2019 - Python
Traffic light and sign recognition are key for Autonomous Vehicles (AVs) because perception mistakes directly influence navigation and safety. In addition to digital adversarial attacks, models are vulnerable to existing perturbations (glare, rain, dirt, or graffiti), which could lead to dangerous misclassifications.
-
Updated
Jan 6, 2026 - Python
Extracted data from the PEMS-SF dataset. This GUI contains visuals of the 900+ sensor locations across San Francisco and their occupancy rates.
-
Updated
Aug 19, 2023 - Python
Computational Stability of Cubical Homology: Orthogonal Controls for Fault Isolation in Retinal Diagnostics
python machine-learning computer-vision reliability-engineering image-processing medical-imaging feature-engineering sensitivity-analysis persistent-homology topological-data-analysis computational-topology hu-moments diabetic-retinopathy perturbation-analysis cubical-complex retinal-imaging fundus-imaging robustness-evaluation cubical-homology
-
Updated
Mar 25, 2026 - Python
Improve this page
Add a description, image, and links to the perturbation-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the perturbation-analysis topic, visit your repo's landing page and select "manage topics."