Jiang C., Wang, C., and Li, J.J. (2025). Nullstrap-DE: A General Framework for Calibrating FDR and Preserving Power in DE Methods, with Applications to DESeq2 and edgeR. arXiv.
Wang, C., Zhang, Z., and Li, J.J. (2025). Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models. arXiv.
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.*, Chen, S.*, Lee, C.*, Li, K., Ge, X., and Li, J.J. (2023). Synthetic control removes spurious discoveries from double dipping in single-cell and spatial transcriptomics data analyses. bioRxiv. [ RECOMB 2025 ] [ SOFTWARE ]
Li, W.V., Tong, X., and Li, J.J. (2020). Bridging cost-sensitive and Neyman-Pearson paradigms for asymmetric binary classification. arXiv. [ CODE ]