Publications
- Toneyan, S., Koo, P., Interpreting Cis-Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics. bioRxiv
- Lee, N., Tang, Z., Toneyan, S., Koo, P., EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations. Genome Biology, 24, 105 (2023)
- Gao, Y., He, X., Wu, X., Huang, Y., Toneyan, S., Ipsaro, J., Ha, T., Koo, P., Egeblad, M., Joshua-Tor, L., and Vakoc, C., ETV6 dependency in Ewing sarcoma through antagonism of EWS-FLI1- mediated enhancer activation. Nature Cell Biology, 25, pp. 298–308 (2023)
- Toneyan, S., Tang, Z., Koo, P., Evaluating deep learning for predicting epigenomic profiles. Nature Machine Intelligence, 4, pp. 1088–1100 (2022)
- Zhao, Y., Dukler, N., Barshad, G., Toneyan, S., Danko, C. and Siepel, A., Deconvolution of expression for nascent RNA-sequencing data (DENR) highlights pre-RNA isoform diversity in human cells. Bioinformatics, 37(24), pp.4727-4736
- Studer, L., Toneyan, S., Zlobec, I., Dawson, H. and Fischer, A., Graph-based classification of intestinal glands in colorectal cancer tissue images. MICCAI 2019 Workshop COMPAY
- Studer, L., Toneyan, S., Zlobec, Lugli A., I., Fischer, A. and Dawson, H., Intestinal gland classification from colorectal cancer tissue images using graph-based methods. Proceedings of the 4th Joint Annual Meeting of the Swiss and Austrian Societies of Pathology, 7-9 November 2019, Luzern, Switzerland; Der Pathologe
