7 projects
auroraomics
Prepare H&E slides on your own machine, submit them to Aurora, and read the spatial gene expression it predicts.
deepspotm
Predicts spatial gene expression from histology images using pathology foundation models
aestetik
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
gnomad-db
This package scales the huge gnomAD files to a SQLite database, which is easy and fast to query. It extracts from a gnomAD vcf the minor allele frequency for each variant.
mclustpy
Clustering using the mclust algorithm.
xgbexcel
Convert XGBRegressor or XGBClassifier models to an Excel formula expression.
azimuthpy
Python wrapper for Azimuth (Seurat-based single-cell mapping) using rpy2
