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I’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
The text was updated successfully, but these errors were encountered:
Hi,
I’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
The text was updated successfully, but these errors were encountered: