inferring regulatory cellular dynamics
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Jan 21, 2025 - Python
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perturbation-analysis
Here are 12 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 20, 2024 - R
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
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
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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Feb 6, 2025 - Python
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
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
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 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
Perturbation Analysis of Practical Algorithms for the Maximum Scatter Travelling Salesman Problem @ ALENEX '22
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Oct 31, 2021 - C++
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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