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The Spang Lab's Projects

adadmire icon adadmire

Python package for detecting anomalies in tabular datasets using Mixed Graphical Models

dabih icon dabih

dabih is a secure way to upload and share data, end-to-end encrypted, using the WebCrypto API

datatomb icon datatomb

a simple HTTP server for storing and retrieving data sets and their metadata

digger icon digger

A simple R frontend for datatomb

dtd icon dtd

Loss-Function Learning for Digital Tissue Deconvolution

fastqpuri icon fastqpuri

fastq quality assessment and filtering tool

imlui icon imlui

R package for hosting a web app to share, apply and understand statistical models and datasets.

isocorrector icon isocorrector

A Correction Algorithm For Natural Isotope Abundance Contributions

learnmhn icon learnmhn

A Python package to work with Mutual Hazard Networks (MHN)

metabodecon icon metabodecon

Deconvolution of 1D NMR spectra using MetaboDecon1D followed by alignment of the data by the speaq package and some additional postprocessing resulting in an aligned data matrix of aligned signal integrals

tensir icon tensir

SIR model parameter estimation using a novel algorithm for differentiated uniformization.

tissueresolver icon tissueresolver

tissueResolver is a package for converting bulk RNA-seq datasets into virtual tissues using information from similar single cell datasets by assigning weights to true single cells, maintaining their molecular integrity. Virtual tissues can be analyzed in a similar way as conventional single cell datasets.

tissueresolver-docs icon tissueresolver-docs

Vignette for the tissueResolver pipeline. We explain the most important steps in accessing the tissueResolver package via reproducing the case study of our publication

urnc icon urnc

Uni Regensburg Notebook Converter

urnc-example-course-public icon urnc-example-course-public

Public version of urnc-example-course (https://github.com/spang-lab/urnc-example-course) auto generated by urnc (https://github.com/spang-lab/urnc)

zerosum icon zerosum

R-package for elastic net regularized regression with zero sum constraint

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