Scatter plot showing the relationship between the Kullback-Leibler divergence (KLD) and Matthew’s correlation coefficient (MCC) (lower part), the two-sided t-test p-values (upper part) under different simulation settings.

<p>The y-axis of the upper part is -log10 scale of the t-test p-values. Simulations are performed under different major class proportions: 0.5, 0.6, 0.7 and 0.8.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-10-15
DOI
https://doi.org/10.1371/journal.pcbi.1012527.s004
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Scatter plot showing the relationship between the Kullback-Leibler divergence (KLD) and Matthew’s correlation coefficient (MCC) (lower part), the two-sided t-test p-values (upper part) under different simulation settings.

Figshare
Advanced Statistical Methods and Models
article

Scatter plot showing the relationship between the Kullback-Leibler divergence (KLD) and Matthew’s correlation coefficient (MCC) (lower part), the two-sided t-test p-values (upper part) under different simulation settings.

article en

Abstract

<p>The y-axis of the upper part is -log10 scale of the t-test p-values. Simulations are performed under different major class proportions: 0.5, 0.6, 0.7 and 0.8.</p> <p>(PDF)</p>

Figshare
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Advanced Statistical Methods and Models
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Scatter plot showing the relationship between the Kullback-Leibler divergence (KLD) and Matthew’s correlation coefficient (MCC) (lower part), the two-sided t-test p-values (upper part) under different simulation settings. · Figshare (2024) | TGRS Research Map | TGRS