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Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

License: Apache License 2.0

Jupyter Notebook 99.81% Python 0.18% R 0.01% Shell 0.01%
scrna-seq ipsc eqtl

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singlecell_neuroseq_paper's Issues

RNA-seq quantitation for neuronal differentiation prediction model

Hi,

Iโ€™m a researcher at the LMB in Cambridge and we are interested in running your neuronal differentiation prediction model on additional datasets.

The Jupyter notebook is fine to run, but I had queries about how to quantitate the RNA-seq data prior to running your classifier. For example, my own RNA-seq quantitation pipeline does not output all the genes used in your model, which I suspect is a result of using a slightly different genome annotation.

Is there a protocol to follow with regards to the bioinformatic processing of the RNA-seq data. Sorry if I have missed something obvious in your paper or GitHub description.

Many thanks for your help.

All the best,
Steven

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