Dongyuan is a Ph.D. student in Bioinformatics. He obtained his B.S. in Biological Sciences, Fudan University and M.S. in Computational Biology, Harvard University. Dongyuan is interested in developing statistical methods in single-cell genomics.
Dongyuan is on the job market this year. Homepage
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.
71. Yan, G., Song, D., and Li, J.J. (2023). scReadSim: a single-cell RNA-seq and ATAC-seq read simulator. Nature Communications 14:7482. [ SOFTWARE ] | [ PDF ]
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. [ SOFTWARE ]
73. 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 ]
62. Cui, E.H.*, Song, D.*, Wong, W.K., and Li, J.J. (2022). Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime. Bioinformatics 38(16):3927–3934. [ SOFTWARE ] [ CODE ]
61. Song, D.*, Xi, N.M.*, Li, J.J., and Wang, L. (2022). scSampler: fast diversity-preserving subsampling of large-scale single-cell transcriptomic data. Bioinformatics 38(11):3126–3127. [ PYTHON PACKAGE ] [ R PACKAGE ]
58. Jiang, R., Sun, T., Song, D., and Li, J.J. (2022). Statistics or biology: the zero-inflation controversy about scRNA-seq data. Genome Biology 23:31. [ CODE ] | [ PDF ]
57. Sun, T., Song, D., Li, W.V., and Li, J.J. (2022). Simulating single-cell gene expression count data with preserved gene correlations by scDesign2. Journal of Computational Biology 29(1):23–26. (RECOMB 2021; software article; see Publication 50 for the method article) [ SOFTWARE ]
56. Ge, X.*, Chen, Y.E.*, Song, D., McDermott, M., Woyshner, K., Manousopoulou, A., Wang, N., Li, W., Wang, L.D., and Li, J.J. (2021). Clipper: p-value-free FDR control on high-throughput data from two conditions. Genome Biology 22:288. [ UCLA NEWS ] [ SOFTWARE ] [ CODE ] [ VIDEO ] | [ PDF ]
53. Song, D.*, Li, K.*, Hemminger, Z., Wollman, R., and Li, J.J. (2021). scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling. Bioinformatics 37(Supplement_1):i358–i366. [ ISMB/ECCB 2021 ] [ SOFTWARE ]
50. Sun, T., Song, D., Li, W.V., and Li, J.J. (2021). scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured. Genome Biology 22:163. [ RECOMB 2021 ] [ UCLA NEWS ] [ SOFTWARE ] [ CODE ] | [ PDF ]
46. Song, D. and Li, J.J. (2021). PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data. Genome Biology 22:124. [ UCLA NEWS ] [ SOFTWARE ] [ CODE ]
