Fig. 1

There is both consistent and complementary information related to side effects in different drug feature profiles. Drugs cluster together according to the similarities calculated with different features or side effect labels. The blocks of drugs along the diagonals are identified by the R package ‘dynamicTreeCut’ [67]. The overlaps between the blocks in each feature similarity matrix of drugs and the blocks in side effect similarity matrix of drugs are determined by Fisher’s exact test (\(\hbox {p-value}<0.05\)). The significantly overlapping blocks are marked by coloured rectangles in the heat-maps. The purple rectangles indicate that the blocks in the side effect similarity matrix of drugs overlap with blocks in one of the feature similarity matrices (for example, block e1 overlaps with block a1 in the chemical similarity matrix). The green rectangles indicate that the blocks in the side effect similarity matrix of drugs overlap with blocks in two or three feature similarity matrices (for example, block e2 overlaps with a2 in the chemical similarity matrix and block d2 in the gene expression similarity matrix). The red rectangles indicate that the blocks in the side effect similarity matrix of drugs overlap with blocks in all feature matrices (for example, block e3 overlaps with block a3, b3, c3, d3). The legend indicates the value of similarity, from 0 (blue) to 1 (red)