Calibrated inference of spiking from calcium ΔF/F data using deep networks
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Updated
Jun 2, 2024 - Jupyter Notebook
Calibrated inference of spiking from calcium ΔF/F data using deep networks
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Deconvolution of widefield microscopy images and generation of point spread functions
Toolkit for Liquid Argon TPC Simulation and Reconstruction
Deconvolution of bulk RNA-seq data using single-cell RNA-seq data as reference
Official code for Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
Blind and non-blind Richardson-lucy deconvolution using pytorch
Deconvolution of the growth law equation. Code and replication data for https://doi.org/10.5194/gi-11-293-2022
Python version of 3dPFM and 3dMEPFM
A Python package for Poisson joint likelihood deconvolution
Analysis of circular dichroism spectra - deconvolution and plotting
Comprehensive pipeline for donor demultiplexing in single cell
As a tool for cancer subtype prediction, Keraon uses features derived from cell-free DNA (cfDNA) in conjunction with PDX reference models to perform both classification and heterogenous phenotype fraction estimation.
A website version of my PhD dissertation.
A Python package for subhalo abundance matching (SHAM) with scatter.
Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data
ConsensusTME Gene Sets and R Script
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
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