Predicting chromatin conformation contact maps
Fig 9
Convolutional Sphinx architecture does not improve performance over standard architecture
(a) Cell type and assay factors are input into the hidden layers as in Fig 2. Position factors are first convoluted in a window of neighboring factors. The window size is shown as 1 in the figure as an example. The result of the convolution is input into the hidden layers. (b) A comparison of the raw, contact decay profile, eigenvector, and insulation score MSEs. The black line indicates y = x. (c) The training curve (rolling average over 10 batches) and validation curve (plotted per epoch) are shown and compared to baselines.