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Genome Biology
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April 30, 2021
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data
Dongyuan Song, Jingyi Jessica Li
BMC Genomics
|
June 5, 2026
Evaluating the learnability of single-cell large language models on multiple tasks
Yu Yan, Xutao Wang, Dongyuan Song
Nature Communications
|
November 19, 2023
scReadSim: a single-cell RNA-seq and ATAC-seq read simulator
Guanao Yan, Dongyuan Song, Jingyi Jessica Li
Research Square
|
August 14, 2023
ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping
Dongyuan Song, Kexin Li, Xinzhou Ge, et al.
Journal of the American Statistical Association
|
June 2, 2025
Comment on "Data Fission: Splitting a Single Data Point", Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing
Changhu Wang, Xinzhou Ge, Dongyuan Song, et al.
Bioinformatics (Oxford, England)
|
October 21, 2025
PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime
Yuheng Lai, Dongyuan Song, Lucy Xia, et al.
Genome Biology
|
January 22, 2022
Statistics or biology: the zero-inflation controversy about scRNA-seq data
Ruochen Jiang, Tianyi Sun, Dongyuan Song, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 8, 2025
ClusterDE: A Statistical Software Package for Removing Double-Dipping Bias in Post-Clustering Differential Expression Analysis
Christy Lee, Dongyuan Song, Siqi Chen, et al.
Biorxiv : the Preprint Server for Biology
|
March 11, 2026
scDesignPop generates realistic population-scale single-cell RNA-seq for power analysis, benchmarking, and privacy protection
Chris Y Dong, Yihui Cen, Dongyuan Song, et al.
Genome Biology
|
June 10, 2021
Publisher Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured
Tianyi Sun, Dongyuan Song, Wei Vivian Li, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 30) with videos related to
Sort By:
Page
of 3
Genome Biology
|
April 30, 2021
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data
Dongyuan Song, Jingyi Jessica Li
BMC Genomics
|
June 5, 2026
Evaluating the learnability of single-cell large language models on multiple tasks
Yu Yan, Xutao Wang, Dongyuan Song
Nature Communications
|
November 19, 2023
scReadSim: a single-cell RNA-seq and ATAC-seq read simulator
Guanao Yan, Dongyuan Song, Jingyi Jessica Li
Research Square
|
August 14, 2023
ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping
Dongyuan Song, Kexin Li, Xinzhou Ge, et al.
Journal of the American Statistical Association
|
June 2, 2025
Comment on "Data Fission: Splitting a Single Data Point", Data Fission for Unsupervised Learning: A Discussion on Post-Clustering Inference and the Challenges of Debiasing
Changhu Wang, Xinzhou Ge, Dongyuan Song, et al.
Bioinformatics (Oxford, England)
|
October 21, 2025
PseudotimeDE-fast: fast testing of differential gene expression along cell pseudotime
Yuheng Lai, Dongyuan Song, Lucy Xia, et al.
Genome Biology
|
January 22, 2022
Statistics or biology: the zero-inflation controversy about scRNA-seq data
Ruochen Jiang, Tianyi Sun, Dongyuan Song, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
October 8, 2025
ClusterDE: A Statistical Software Package for Removing Double-Dipping Bias in Post-Clustering Differential Expression Analysis
Christy Lee, Dongyuan Song, Siqi Chen, et al.
Biorxiv : the Preprint Server for Biology
|
March 11, 2026
scDesignPop generates realistic population-scale single-cell RNA-seq for power analysis, benchmarking, and privacy protection
Chris Y Dong, Yihui Cen, Dongyuan Song, et al.
Genome Biology
|
June 10, 2021
Publisher Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured
Tianyi Sun, Dongyuan Song, Wei Vivian Li, et al.
Page
of 3