DeMixSC is a generalizable framework designed to leverage a small benchmark dataset for bulk RNA-seq deconvolution. Please refer to our accepted manuscript at Genome Research for details. Adjustment: ...
Abstract: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...
Jolideco is a Python package for Joint Likelihood Deconvolution of astronomical images affected by Poisson noise. It allows you to deblur and denoise images and do a joint image reconstruction of ...
Abstract: Blind deconvolution over graphs involves using (observed) output graph signals to obtain both the inputs (sources) as well as the filter that drives (models) the graph diffusion process.
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