inferring regulatory cellular dynamics
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Updated
Dec 31, 2024 - Python
inferring regulatory cellular dynamics
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
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.
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".
Guided Perturbations: Self-Corrective Behavior in Convolutional Neural Networks
GRAph Parallel Environment
Perturbation Analysis of Practical Algorithms for the Maximum Scatter Travelling Salesman Problem @ ALENEX '22
Perturbation Analysis for Parabolic Partial Differential Equations
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.
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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