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in vitro state-fate ML prediction

jindalk opened this issue · comments

Hi,
This query is regarding the LARRY lineage tracing paper from 2020. Was each cell type that appears in the state fate metadata table used as a separate class or did you have to merge similar cell types into one class, especially in case of cell types that aren't very abundant in the dataset (e.g. pDC and Eos have <20 cells each on Day 2). Second, did you include clones whose dominant fate outcome is 'Unknown' in this analysis? I was just curious how it would affect your performance since that class would probably have the 'noisiest' input data of all.

Thank you

We merged classes for certain figures/analyses and in some cases omitted classes that were very rare. This should be clearly described in the Methods where applicable.

I believe that clones whose dominant fate outcome is 'Unknown' were those without a cell represented at a later time point. There were not included in analyses that specifically addressed the predictors or predictability of cell fate. If you have a specific analysis in mind I can be more precise!

Most certainly! I was referring specifically to the results from fig 3a. I went through sec 9.1 of the supplement but did not find any information about merging classes, does that mean you took all classes as they are for that analysis? Apologies if I missed something in the text!