Comparisons of log 2 fold changes in genes between the observed (x-axis) and imputed (y-axis) data by method (column) and by recovery status (row).

DGE analysis was carried out using limma based on one of the simulated phenotypes. An FDR of 0.05 was used in both observed and imputed data here, and CD4 DGE recovery is shown. DGE results in each method (column) are the same, with coloured points for genes falling into that category of recovery status (row) and grey points for genes not belonging to the same category. Recovery status: No, Yes-NS, and Yes-Sig. Yes-Sig (sensitivity; Sen): differentially expressed genes in the observed data were also called significant in the imputed data, and the orientations of the effect sizes are the same in both data. Yes-NS (specificity; Spe): genes are called non-significant (NS) in both data. No (error; Err): misclassified genes; Err is calculated as the percentage of misclassified genes to the total number of predicted genes. (PDF)

Publication Details

Journal
Figshare
Published
2025-03-07
DOI
https://doi.org/10.1371/journal.pcbi.1012859.s004
Primary Topic
Forest, Soil, and Plant Ecology in China
Type
article
Field-Weighted Citation Impact
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article

Comparisons of log 2 fold changes in genes between the observed (x-axis) and imputed (y-axis) data by method (column) and by recovery status (row).

Figshare
Forest, Soil, and Plant Ecology in China
article

Comparisons of log 2 fold changes in genes between the observed (x-axis) and imputed (y-axis) data by method (column) and by recovery status (row).

article en

Abstract

DGE analysis was carried out using limma based on one of the simulated phenotypes. An FDR of 0.05 was used in both observed and imputed data here, and CD4 DGE recovery is shown. DGE results in each method (column) are the same, with coloured points for genes falling into that category of recovery status (row) and grey points for genes not belonging to the same category. Recovery status: No, Yes-NS, and Yes-Sig. Yes-Sig (sensitivity; Sen): differentially expressed genes in the observed data were also called significant in the imputed data, and the orientations of the effect sizes are the same in both data. Yes-NS (specificity; Spe): genes are called non-significant (NS) in both data. No (error; Err): misclassified genes; Err is calculated as the percentage of misclassified genes to the total number of predicted genes. (PDF)

Figshare
Openalex Percentile: Top 43%
Forest, Soil, and Plant Ecology in China
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