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🏃 The go-to single-cell Foundation Model
Cell type pipes for R
Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classifiers 1) RF 2) SVM and 3) LR
Supervised cell type identification for scATAC-seq data
Implementation of entropy of mixing algorithm in python
Modification of the Original ScType Method for Barcode Annotation using KNN Algorithm
Custom groovy scripts for QuaPath