Published July 12, 2019 | Version 1.0

hscScore model

Authors/Creators

  • 1. University of Cambridge

Description

Trained scikit-learn model for scoring single-cell RNA-sequencing data based on each cell's similarity to HSCs along with supporting files for applying to new datasets. Details of how to apply the model can be found in https://github.com/fionahamey/hscScore/blob/master/hscScore_demonstration_notebook.ipynb

hscScore_model.pkl - Trained scikit-learn model (version scikit-learn==0.21.2) for predicting HSC-score on scRNA-seq data

model_molo_genes.txt - scRNA-seq data should be subset to the expression of these genes and columns reordered to match this ordering before input into the model

nestorowa_htseq_counts.txt - Example dataset to test the model on

Files

model_molo_genes.txt

Files (191.5 MB)

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