waveform LiDAR data processing and analysis
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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
A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling
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]
Detection of single sources solving a deconvolution problem
Data for magnetstein paper & webservice. For more info see: https://github.com/BDomzal/magnetstein.
Personal portfolio enumerating my main omic analyses projects
Employing Magnetstein for the analysis of chemical reactions.
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