PyUnfold
PyUnfold: A Python package for iterative unfolding - Published in JOSS (2018)
catd_snakemake
Snakemake pipeline for benchmarking cell-type deconvolution methods and deconvolving real bulk RNA-seq data with the use of scRNA-seq datasets
lls-core
Napari plugin for custom analysis and visualization of lattice lightsheet and Oblique Plane Microscopy data. The plugin is optimized for data from the Zeiss lattice lightsheet microscope.
DeconvOptim
A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.
abundancematching
A Python package for subhalo abundance matching (SHAM) with scatter.
TREG
Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data
EWCE
Expression Weighted Celltype Enrichment. See the package website for up-to-date instructions on usage.
aric
Accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation data
deconvR
The deconvR is an R package designed for analyzing deconvolution of the bulk sample(s) using an atlas of reference omic signature profiles and a user-selected model.
digitaldlsorter
digitalDLSorteR: An R package to deconvolute bulk RNA-Seq using scRNA-Seq data
imsig
Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours
dosymetric-image-reconstruction
Reconstructing dosimetric images using a deconvoluted physical model
seAMLess
A single cell transcriptomics based deconvolution pipeline for Leukemia
deconv_code_data
Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022
4
It is possible to predict the spectrum of e.g. a nucleobase in a nucleoside-nucleobase conversion.
https://github.com/broadinstitute/temporal-rna-seq-deconvolution
Package for temporal deconvolution of bulk RNA-seq samples using SVI