Qingyang Wang
PhD student in Statistics (UCLA)
Email: [email protected]
Qingyang is a Ph.D. student in the Department of Statistics at UCLA. She obtained her B.S. degrees in Statistics and Computer Science from Rutgers University, New Brunswick. She is interested in developing statistical methods for high-dimensional single-cell data.
Publications:
- Song, B., Liu, D., Dai, W., McMyn, N.F., Wang, Q., Yang, D., Krejci, A., Vasilyev, A., Untermoser, N., Loregger, A., Song, D., Williams, B., Rosen, B., Cheng, X., Chao, L., Kale, H.T., Zhang, H., Diao, Y., Bürckstümmer, T., Siliciano, J.D., Li, J.J., Siliciano, R.F., Huangfu, D., & Li, W. (2025). Decoding heterogeneous single-cell perturbation responses. Nature Cell Biology 27:493–504.
- Wang, Q., Zhai, Z., Lian, Q., Song, D., and Li, J.J. (2023). Categorization and analysis of 14 computational methods for estimating cell potency from single-cell RNA-seq data. arXiv.
- Song, D., Wang, Q., Yan, G., Liu, T., and Li, J.J. (2024). scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics. Nature Biotechnology 42:247–252. [ SOFTWARE ] | [ PDF