KarolineHoller
Systems biologist excited for spatial/single cell transcriptomics. Background in biochemistry. She/her.
Helmholtz Computational Health, MunichBerlin, Germany
Pinned Repositories
CIARA
CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
ComplexHeatmap
Make Complex Heatmaps
cross-modal-autoencoders
datasharing
The Leek group guide to data sharing
DIALOGUE
DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map the cell transcriptome as a function of its environment.
msu_ngs2015
DE analysis module for Week3
nanopore_methylation
novosparc
planets
scSLAM-seq
KarolineHoller's Repositories
KarolineHoller/scSLAM-seq
KarolineHoller/CIARA
CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is an R package that identifies potential markers of rare cell types looking at genes whose expression is confined in small regions of the expression space
KarolineHoller/ComplexHeatmap
Make Complex Heatmaps
KarolineHoller/cross-modal-autoencoders
KarolineHoller/datasharing
The Leek group guide to data sharing
KarolineHoller/DIALOGUE
DIALOGUE is a dimensionality reduction method that uses cross-cell-type associations to identify multicellular programs (MCPs) and map the cell transcriptome as a function of its environment.
KarolineHoller/msu_ngs2015
DE analysis module for Week3
KarolineHoller/nanopore_methylation
KarolineHoller/novosparc
KarolineHoller/planets
KarolineHoller/scAVE
KarolineHoller/scanpy
Single-cell analysis in Python. Scales to >1M cells.
KarolineHoller/scib
Benchmarking analysis of data integration tools
KarolineHoller/scLVM
scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.
KarolineHoller/spatial_scog_workshop_2022
Tutorials for the SCOG Virtual Workshop ‘Spatial transcriptomics data analysis in Python’ - May 23-24, 2022
KarolineHoller/spectra
Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms
KarolineHoller/tomo-seq