Tong, Alexander

Quantifying the effect of experimental perturbations at single-cell resolution

Burkhardt, D. B., Stanley, J. S., Tong, A., Perdigoto, A. L., Gigante, S. A., Herold, K. C., Wolf, G., Giraldez, A. J., van Dijk, D., & Krishnaswamy, S. (2021) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 226

Multiscale PHATE identifies multimodal signatures of COVID-19

Kuchroo, M., Huang, J., Wong, P., Grenier, J.-C., Shung, D., Tong, A., Lucas, C., Klein, J., Burkhardt, D. B., Gigante, S., et al. (2022) · Nature Biotechnology

Single-cell and spatial transcriptomicsTopological and Geometric Data Analysis

Cited by 72

Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

Ramos Zapatero, M., Tong, A., Opzoomer, J. W., O’Sullivan, R., Cardoso Rodriguez, F., Sufi, J., Vlckova, P., Nattress, C., Qin, X., Claus, J., et al. (2023) · Cell

Cancer Cells and MetastasisSingle-cell and spatial transcriptomics

Cited by 72

Improving and generalizing flow-based generative models with minibatch optimal transport

Tong, A., Fatras, K., Malkin, N., Huguet, G., Zhang, Y., Rector-Brooks, J., Wolf, G., & Bengio, Y. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 50