The Spang Lab
Statistical Bioinformatics Department, University of Regensburg, Germany
Regensburg, Germany
Pinned Repositories
adadmire
Python package for detecting anomalies in tabular datasets using Mixed Graphical Models
dabih
dabih is a secure way to upload and share data, end-to-end encrypted, using the WebCrypto API
DTD
Loss-Function Learning for Digital Tissue Deconvolution
LearnMHN
A Python package to work with Mutual Hazard Networks (MHN)
lyra-client-library
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
MHN
TenSIR
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
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.
zeroSum
R-package for elastic net regularized regression with zero sum constraint
The Spang Lab's Repositories
spang-lab/dabih
dabih is a secure way to upload and share data, end-to-end encrypted, using the WebCrypto API
spang-lab/TenSIR
SIR model parameter estimation using a novel algorithm for differentiated uniformization.
spang-lab/LearnMHN
A Python package to work with Mutual Hazard Networks (MHN)
spang-lab/adadmire
Python package for detecting anomalies in tabular datasets using Mixed Graphical Models
spang-lab/DTD
Loss-Function Learning for Digital Tissue Deconvolution
spang-lab/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
spang-lab/zeroSum
R-package for elastic net regularized regression with zero sum constraint
spang-lab/FastqPuri
fastq quality assessment and filtering tool
spang-lab/IsoCorrectoR
A Correction Algorithm For Natural Isotope Abundance Contributions
spang-lab/IsoCorrectoRGUI
A Graphical User Interface for the IsoCorrectoR package.
spang-lab/lyra-api-server
spang-lab/lyra-client-library
spang-lab/lyra-lymmml-client
spang-lab/MHN
spang-lab/miRA
spang-lab/pamly-lib
spang-lab/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.
spang-lab/urnc
Uni Regensburg Notebook Converter
spang-lab/digger
A simple R frontend for datatomb
spang-lab/datatomb
a simple HTTP server for storing and retrieving data sets and their metadata
spang-lab/FastRet
FastRet is an R package for predicting retention times in liquid chromatography. It can be used through the R console or through a graphical user interface.
spang-lab/imlui
R package for hosting a web app to share, apply and understand statistical models and datasets.
spang-lab/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
spang-lab/urnc-example-course
Example course demonstrating the use of urnc (https://github.com/spang-lab/urnc)
spang-lab/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)