inferring regulatory cellular dynamics
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Jan 13, 2026 - Python
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perturbation-analysis
Here are 15 public repositories matching this topic...
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
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Dec 7, 2025 - 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
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Dec 16, 2025 - 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
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Sep 2, 2022 - R
Illico is a python library performing blazing fast asymptotic wilcoxon rank-sum tests, useful for single-cell RNASeq data analyses and processing.
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Jan 8, 2026 - 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
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Jul 12, 2018 - Python
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
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Sep 8, 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
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Jan 16, 2018 - 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.
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Jan 6, 2026 - Python
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
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Apr 24, 2019 - Python
Perturbation Analysis for Parabolic Partial Differential Equations
fast-fourier-transform partial-differential-equations finite-difference numerical-methods multiscale-simulation perturbation-analysis
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Jun 29, 2018 - Jupyter Notebook
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
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May 6, 2019 - Python
Perturbation Analysis of Practical Algorithms for the Maximum Scatter Travelling Salesman Problem @ ALENEX '22
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Oct 31, 2021 - C++
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
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Dec 29, 2025 - Python
Extracted data from the PEMS-SF dataset. This GUI contains visuals of the 900+ sensor locations across San Francisco and their occupancy rates.
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Aug 19, 2023 - Python
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