deconvolution-methods

A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling

Hierarchical cell-type deconvolution and analysis of bulk RNA-seq data using single-cell references | Python package and CLI

A benchmark for non-blind deconvolution methods: classical algorithms vs SOTA neural models

Data for magnetstein paper & web application. For more info see: https://github.com/BDomzal/magnetstein.

Employing Magnetstein for the analysis of chemical reactions.

A wavelet-based linear programming method using L1-minimal reconstruction loss for accessible chromatin data deconvolution

Deconvolution of Hi-C interactions from duplicated genomic copies in ecDNA