Hi Kevin,
Thank you - yes I have paired scTCR-seq data and I would like to compare the clonality of the alpha vs. beta chain.
Best wishes,
Lucy
Hi,
I would like to calculate the Gini coefficient for my TCR repertoire data. I have seen that this can be calculated using the DescTools and ineq packages in R, however from the package documentation, I am unclear what input is required in the context of TCR repertoire data.
Is anyone able to help with this?
Best wishes,
Lucy
Hi,
The Gini coefficient is used in many diverse ways, it seems.
In the context of TCR-seq, you could use it to check for 'inequality' among clonotypes on a per sample or group (condition) basis.
Which data have you got, currently?
Kevin
Hi Kevin,
Thank you - yes I have paired scTCR-seq data and I would like to compare the clonality of the alpha vs. beta chain.
Best wishes,
Lucy
I see. The function in DescTools appears to just literally accept, at minimal, a vector of values, like c(45,33,67, ..., 45). I suppose that, technically, a Gini coefficient can be calculated from this, where each number represents usage (normalised read count?) of a particular clonotype.
Based on this vignette (https://www.statology.org/gini-coefficient-in-r/), I think the required input would be the clonotype assignment for each cell rather than the abundances.
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