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Yunshun Chen

Showing results (1-10 of 43) with videos related to

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F1000Research|November 23, 2023
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing dataJinming Cheng, Gordon K Smyth, Yunshun Chen
F1000Research|September 1, 2016
From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipelineYunshun Chen, Aaron T L Lun, Gordon K Smyth
Nucleic Acids Research|January 31, 2012
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variationDavis J McCarthy, Yunshun Chen, Gordon K Smyth
BMC Bioinformatics|January 20, 2025
Benchmarking cell type annotation methods for 10x Xenium spatial transcriptomics dataJinming Cheng, Xinyi Jin, Gordon K Smyth, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 24, 2016
It's DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeRAaron T L Lun, Yunshun Chen, Gordon K Smyth
Genome Biology|February 4, 2014
voom: Precision weights unlock linear model analysis tools for RNA-seq read countsCharity W Law, Yunshun Chen, Wei Shi, et al.
F1000Research|October 24, 2018
Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeRYunshun Chen, Bhupinder Pal, Jane E Visvader, et al.
BMC Bioinformatics|July 24, 2025
Incorporating exon-exon junction reads enhances differential splicing detectionMai T Pham, Michael J G Milevskiy, Jane E Visvader, et al.
Nucleic Acids Research|December 8, 2025
Dividing out quantification uncertainty enables assessment of differential transcript usage with limma and edgeRPedro L Baldoni, Lizhong Chen, Mengbo Li, et al.
Scientific Data|March 24, 2022
R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissueYunshun Chen, Bhupinder Pal, Geoffrey J Lindeman, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
F1000Research|November 23, 2023
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing dataJinming Cheng, Gordon K Smyth, Yunshun Chen
F1000Research|September 1, 2016
From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipelineYunshun Chen, Aaron T L Lun, Gordon K Smyth
Nucleic Acids Research|January 31, 2012
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variationDavis J McCarthy, Yunshun Chen, Gordon K Smyth
BMC Bioinformatics|January 20, 2025
Benchmarking cell type annotation methods for 10x Xenium spatial transcriptomics dataJinming Cheng, Xinyi Jin, Gordon K Smyth, et al.
Methods in Molecular Biology (Clifton, N.J.)|March 24, 2016
It's DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeRAaron T L Lun, Yunshun Chen, Gordon K Smyth
Genome Biology|February 4, 2014
voom: Precision weights unlock linear model analysis tools for RNA-seq read countsCharity W Law, Yunshun Chen, Wei Shi, et al.
F1000Research|October 24, 2018
Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeRYunshun Chen, Bhupinder Pal, Jane E Visvader, et al.
BMC Bioinformatics|July 24, 2025
Incorporating exon-exon junction reads enhances differential splicing detectionMai T Pham, Michael J G Milevskiy, Jane E Visvader, et al.
Nucleic Acids Research|December 8, 2025
Dividing out quantification uncertainty enables assessment of differential transcript usage with limma and edgeRPedro L Baldoni, Lizhong Chen, Mengbo Li, et al.
Scientific Data|March 24, 2022
R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissueYunshun Chen, Bhupinder Pal, Geoffrey J Lindeman, et al.
Pageof 5