2,328
Views
10
CrossRef citations to date
0
Altmetric
Research Paper

Drug-induced liver injury classification model based on in vitro human transcriptomics and in vivo rat clinical chemistry data

, , , , &
Pages 63-70 | Received 25 Sep 2013, Accepted 29 May 2014, Published online: 31 Oct 2014

Figures & data

Figure 1. Graphical overview of log2 ratios of rat in vivo clinical chemistry measurements for clomipramine (A) and disulfiram (B) over time. ALP, alkaline phosphatase; TBIL, total bilirubine; AST, aspartate aminoptansferase; ALT, alanine aminotransferase; LDH, lactate dehydrogenase and GTP, Y-glutamyltranspeptidase.

Figure 1. Graphical overview of log2 ratios of rat in vivo clinical chemistry measurements for clomipramine (A) and disulfiram (B) over time. ALP, alkaline phosphatase; TBIL, total bilirubine; AST, aspartate aminoptansferase; ALT, alanine aminotransferase; LDH, lactate dehydrogenase and GTP, Y-glutamyltranspeptidase.

Table 1. Distribution of compounds over the training and validation set

Table 2. Accuracy for training and validation sets for each prediction model

Table 3. Result of annotation analysis in CoPub showing co-occurances for input gene set and terms for disease, general pathology and liver pathology

Figure 2. Network of 15 genes from the signature list of the 8 h medium dose prediction model and five terms related to relevant processes for DILI (cancer, apoptosis, fibrosis, necrosis, inflammation). Thickness of edges indicate the strength of the connection between the genes and terms. CytoscapeCitation19 was used to visualize the network.

Figure 2. Network of 15 genes from the signature list of the 8 h medium dose prediction model and five terms related to relevant processes for DILI (cancer, apoptosis, fibrosis, necrosis, inflammation). Thickness of edges indicate the strength of the connection between the genes and terms. CytoscapeCitation19 was used to visualize the network.