waveform LiDAR data processing and analysis
-
Updated
Sep 23, 2020 - R
waveform LiDAR data processing and analysis
Snakemake pipeline for benchmarking cell-type deconvolution methods and deconvolving real bulk RNA-seq data with the use of scRNA-seq datasets
spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics
Tools for analysis of nuclear magnetic resonance (NMR) spectra using the Wasserstein metric.
A benchmark for non-blind deconvolution methods: classical algorithms vs SOTA neural models
FPGA embedded multicore processing of an iterative deconvolution method based on sparse data representation aimed at online reconstruction of energy in particle accelerators
Open Source Perfusion Analysis Plugin for OsiriX and Horos
On the Inversion of High Energy Proton, K-Fold Inverse of Stochastic Autoconvolution [arXiv:1905.12585]
Data for magnetstein paper & webservice. For more info see: https://github.com/BDomzal/magnetstein.
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling
Detection of single sources solving a deconvolution problem
Add a description, image, and links to the deconvolution-methods topic page so that developers can more easily learn about it.
To associate your repository with the deconvolution-methods topic, visit your repo's landing page and select "manage topics."