10.1371/journal.pcbi.1007684.g005
Joël R. Pradines
Joël R.
Pradines
Victor Farutin
Victor
Farutin
Nicholas A. Cilfone
Nicholas A.
Cilfone
Abouzar Ghavami
Abouzar
Ghavami
Elma Kurtagic
Elma
Kurtagic
Jamey Guess
Jamey
Guess
Anthony M. Manning
Anthony M.
Manning
Ishan Capila
Ishan
Capila
Comparison of WAP and DEG scores reproducibility in eighteen large gene expression data sets representing eight diseases.
Public Library of Science
2020
concept
data sets
precision medicine studies
protein interaction networks
gene expression data
prioritize novel targets
DEG
gene expression analysis
discovery rate estimation
well-associated protein Identification
WAP
genome-wide transcriptional studies
reproducibility
drug target selection
2020-02-14 18:33:29
Figure
https://plos.figshare.com/articles/figure/Comparison_of_WAP_and_DEG_scores_reproducibility_in_eighteen_large_gene_expression_data_sets_representing_eight_diseases_/11857398
<p>A-H: Each data set is randomly split in two sets one thousand times, and the resulting distributions of overlap statistic maxR are estimated for WAP scores (blue), PFP values of WAPs (pink), DEG scores (green) and WAP scores with randomly rewired protein network (brown). Vertical bars display 99% confidence intervals on median values estimated by bootstrapping with 10<sup>6</sup> samples. I: summary of results over 18 data sets for distributions of maxR differences between DEG and WAP scores (paired values of maxR in each partition (WAP versus DEG scores)).</p>