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guess_is_log in _utils.py does not work correctly, and returns FALSE where our data is in logscale. This results in the is_log1p flag being set incorrectly.
_fold_change in _single_cell.py does not account for the is_log1p flag, which results in the fold change function using division instead of subtraction in the case where data is already in logscale. The fix is to pass a correctedis_log1p flag explicitly to the _fold_change function, and toggling between division and subtraction on the basis of this flag.
guess_is_login_utils.pydoes not work correctly, and returns FALSE where our data is in logscale. This results in theis_log1pflag being set incorrectly._fold_changein_single_cell.pydoes not account for theis_log1pflag, which results in the fold change function using division instead of subtraction in the case where data is already in logscale. The fix is to pass a correctedis_log1pflag explicitly to the_fold_changefunction, and toggling between division and subtraction on the basis of this flag.