Deep Learning in Bioinformatics, Recent Advancement
Google Slide: References 1. Tang, B., Pan, Z., Yin, K. and Khateeb, A., 2019. Recent advances of deep learning in bioinformatics and computational biology. Frontiers in genetics, 10, p. 214. 2. Alipanahi, B., Delong, A., Weirauch, M. T. and Frey, B. J., 2015. Predicting the sequence specificities of DNAand RNAbinding proteins by deep learning. Nature biotechnology, 33(8), 3. Park, S., Koh, Y., Jeon, H., Kim, H., Yeo, Y. and Kang, J., 2020. Enhancing the interpretability of transcription factor binding site prediction using attention mechanism. Scientific reports, 10(1), 4. Lin, E., Mukherjee, S. and Kannan, S., 2020. A deep adversarial variational autoencoder model for dimensionality reduction in singlecell RNA sequencing analysis. BMC bioinformatics, 21(1), 5. Wan, J. J., Chen, B. L., Kong, Y. X., Ma, X. G. and Yu, Y. T., 2019. An early intestinal cancer prediction Algorithm Based on
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