Kelly Cochran; Divyanshi Srivastava; Avanti Shrikumar; Akshay Balsubramani; Ross C. Hardison; Anshul Kundaje; Shaun Mahony

Domain-adaptive neural networks improve cross-species prediction of transcription factor binding

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Figure 1.

Conventional network architecture. Convolutional filters scan the 500-bp input DNA sequence for TF binding features. The convolutional layer is followed by a recurrent layer (LSTM) and two fully connected layers. A final sigmoid-activated neuron predicts if a ChIP-seq peak falls within the input window.