ST-ChIP is a supervised method for forecasting spatiotemporal ChIP-seq data. It uses ConvLSTM-based networks for accurately predicting coverages or peaks of ChIP-seq at the future time steps.
ST-ChIP package can be downloaded here (211M).
Tong Liu and Zheng Wang. ST-ChIP: Accurate prediction of spatiotemporal ChIP-seq data with recurrent neural networks. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022, pp. 18-25, doi: 10.1109/BIBM55620.2022.9995029. (acceptance rate: 19.8%).
For any questions or suggestions, please contact:
Dr. Zheng Wang
Department of Computer Science
University of Miami