Supplementary Figure 5: FIT improves TP ratios for a subset of diseases and tissues.
From: Found In Translation: a machine learning model for mouse-to-human inference
Box plots of TP ratios for 170 CSPs at a q-value threshold = 0.1 and fold-change threshold = 0.25 ordered by (a) disease, (b) mouse source tissue and (c) human benchmark tissue FIT results are compared to. Significant differences are observed in all categories: p-value < 10–6, 10–4, 10–6 by ANOVA for disease, mouse tissue and human tissue respectively, for a q-value threshold = 0.1 and fold-change threshold = 0.25). Number of CSPs in each group is stated in the y axes labels in parentheses. With the present training set, FIT increased true positive fractions (log TP ratios > 0) predominantly in infectious diseases and inflammatory conditions yet performed poorly in cancer. For mouse tissues, FIT performed well on spleen, blood, lung and gut, whereas for human tissues FIT’s performance was best when the sampled benchmarked against were blood or gut. Boxes represent 25th and 75th percentiles around the median (line). Whiskers, 1.5× the IQR.
