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Jean Y H Yang

Showing results (1-10 of 72) with videos related to

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Nature Methods|May 16, 2022
3D reconstruction of spatial expressionYingxin Lin, Jean Y H Yang
BMC Genomics|February 26, 2014
Detection and classification of peaks in 5' cap RNA sequencing dataDario Strbenac, Nicola J Armstrong, Jean Y H Yang
Briefings in Functional Genomics|April 12, 2022
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell eraAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Genome Biology|February 9, 2022
Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing dataLijia Yu, Yue Cao, Jean Y H Yang, et al.
NAR Genomics and Bioinformatics|March 18, 2022
scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming modelAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Nature Communications|July 17, 2023
Atlas-scale single-cell multi-sample multi-condition data integration using scMerge2Yingxin Lin, Yue Cao, Elijah Willie, et al.
Nucleic Acids Research|May 19, 2016
Differential distribution improves gene selection stability and has competitive classification performance for patient survivalDario Strbenac, Graham J Mann, Jean Y H Yang, et al.
Small Methods|May 27, 2025
Interpretable Differential Abundance Signature (iDAS)Lijia Yu, Yingxin Lin, Xiangnan Xu, et al.
Gigascience|July 30, 2022
SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical dataYunwei Zhang, Germaine Wong, Graham Mann, et al.
Bioinformatics (Oxford, England)|February 4, 2015
ClassifyR: an R package for performance assessment of classification with applications to transcriptomicsDario Strbenac, Graham J Mann, John T Ormerod, et al.
Pageof 8

Showing results (1-10 of 72) with videos related to

Sort By:
Pageof 8
Nature Methods|May 16, 2022
3D reconstruction of spatial expressionYingxin Lin, Jean Y H Yang
BMC Genomics|February 26, 2014
Detection and classification of peaks in 5' cap RNA sequencing dataDario Strbenac, Nicola J Armstrong, Jean Y H Yang
Briefings in Functional Genomics|April 12, 2022
Computational approaches for direct cell reprogramming: from the bulk omics era to the single cell eraAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Genome Biology|February 9, 2022
Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing dataLijia Yu, Yue Cao, Jean Y H Yang, et al.
NAR Genomics and Bioinformatics|March 18, 2022
scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming modelAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Nature Communications|July 17, 2023
Atlas-scale single-cell multi-sample multi-condition data integration using scMerge2Yingxin Lin, Yue Cao, Elijah Willie, et al.
Nucleic Acids Research|May 19, 2016
Differential distribution improves gene selection stability and has competitive classification performance for patient survivalDario Strbenac, Graham J Mann, Jean Y H Yang, et al.
Small Methods|May 27, 2025
Interpretable Differential Abundance Signature (iDAS)Lijia Yu, Yingxin Lin, Xiangnan Xu, et al.
Gigascience|July 30, 2022
SurvBenchmark: comprehensive benchmarking study of survival analysis methods using both omics data and clinical dataYunwei Zhang, Germaine Wong, Graham Mann, et al.
Bioinformatics (Oxford, England)|February 4, 2015
ClassifyR: an R package for performance assessment of classification with applications to transcriptomicsDario Strbenac, Graham J Mann, John T Ormerod, et al.
Pageof 8