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Spatial_Permutation_and_Normalization
Spatial_Permutation_and_Normalization PublicPermutation analysis and normalization strategy for the colocatome paper.
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HNSCC-atlas-alignment
HNSCC-atlas-alignment PublicSingle-cell alignment for scRNA-seq and CITE-seq U54 data
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plevritis-lab/panoramic’s past year of commit activity - dcspomic Public
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plevritis-lab/spomic’s past year of commit activity - Spatial_Permutation_and_Normalization Public
Permutation analysis and normalization strategy for the colocatome paper.
plevritis-lab/Spatial_Permutation_and_Normalization’s past year of commit activity - CELESTA Public
Automate unsupervised machine learning cell type identification using both protein expressions and cell spatial neighborhood information for multiplexed in situ imaging data. No training dataset with cell type labels is required.
plevritis-lab/CELESTA’s past year of commit activity - remi Public
The REMI package is written in R and is designed to predict ligand receptor interactions within a microenvironment given RNA-sequencing data. It regularizes communities of ligand and receptors that have a high probability of being transcriptionally linked.
plevritis-lab/remi’s past year of commit activity
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