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    LitCovid-PD-FMA-UBERON

    al bias from downstream analysis. Because the primary flow features were expressed as a fraction of the parent population (falling in the 0-to-1 interval) a variance stabilizing transform (logit) was first applied to each data value, prior to re-centering the second panel to have the same mean as the first. After mean-centering, data were transformed back to the original fraction of

    LitCovid-PD-CLO

    al bias from downstream analysis. Because the primary flow features were expressed as a fraction of the parent population (falling in the 0-to-1 interval) a variance stabilizing transform (logit) was first applied to each data value, prior to re-centering the second panel to have the same mean as the first. After mean-centering, data were transformed back to the original fraction of

    LitCovid-sentences

    al bias from downstream analysis. Because the primary flow features were expressed as a fraction of the parent population (falling in the 0-to-1 interval) a variance stabilizing transform (logit) was first applied to each data value, prior to re-centering the second panel to have the same mean as the first. After mean-centering, data were transformed back to the original fraction of