Relative area under the precision-recall (PR) curve improvement for all considered GO terms.
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Significant p-values (
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2015-12-02
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Areas Under Curve (AUC) measures for all gene prediction tasks.
The results in the first row show the AUC values for comparing against OMIM’s gene–disease associations, while the results in the second row are the AUC values when comparing against MGI’s gene–diseas
Figshare2015-12-02 更新60
Additional file 1: Table S3. of Phylo_dCor: distance correlation as a novel metric for phylogenetic profiling
Table of TPs and TNs. The number of True Positives and True Negatives obtained by dCor, MI and PC calculation for each reference set and each gold standard (GS-fun and GS-phy) for E. coli and S.cerevi
Figshare2017-09-05 更新30
Spearman correlation (Spearman rank correlation test) between predicted and experimental KO–WT average gene activity changes for each method. Values in parentheses indicate the associated p -values in scientific notation. Statistically significant correlations ( p
Spearman correlation (Spearman rank correlation test) between predicted and experimental KO–WT average gene activity changes for each method. Values in parentheses indicate the associated p-values in
NIAID Data Ecosystem00
Average deviation of FP/FN rates from equilibrium (imbalance) across all GO terms in the misclassified subsection of the test dataset II and the number of terms significantly enriched in either the FP or FN subsets of the misclassified variations.
Average deviation of FP/FN rates from equilibrium (imbalance) across all GO terms in the misclassified subsection of the test dataset II and the number of terms significantly enriched in either the FP
NIAID Data Ecosystem40
The average semantic similarity scores of the best predictions, among “Top 1” or “Top 3” GO term(s).
“Top 1” (“Top 3”) indicates that for each target domain, we calculate the pair-wise similarity scores between the top one (top three) ranked GO term(s) and the actual GO terms, and the highest score i
NIAID Data Ecosystem10
