Philipp S. L. Schäfer's repositories
CellBender
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
decoupler-py
Python package to perform enrichment analysis from omics data.
liana-py
LIANA: a LIgand-receptor ANalysis frAmework
mistyR
Multiview Intercellular SpaTial modeling framework
mofapy2
Multi-omics factor analysis v2
rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
ridge
CRAN R Package: Ridge Regression with automatic selection of the penalty parameter
spacexr
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
starfysh
Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
stLearn
A novel machine learning pipeline to analyse spatial transcriptomics data
VisiumMS
Study of Multiple Sclerosis(MS) using paried snRNA-seq and Visium transcriptmics datasets.