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Hongxu Ding

Showing results (1-10 of 34) with videos related to

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Bioinformatics (Oxford, England)|March 27, 2018
iterClust: a statistical framework for iterative clustering analysisHongxu Ding, Wanxin Wang, Andrea Califano
American Journal of Clinical Pathology|March 4, 2025
Histopathologic and genetic distinction of well-differentiated grade 3 neuroendocrine tumor versus poorly-differentiated neuroendocrine carcinoma in high-grade neuroendocrine neoplasmsBelinda L Sun, Hongxu Ding, Xiaoguang Sun
Nature Communications|September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomicsLucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Nature Communications|October 27, 2019
Biological process activity transformation of single cell gene expression for cross-species alignmentHongxu Ding, Andrew Blair, Ying Yang, et al.
Nature Communications|November 12, 2021
Towards inferring nanopore sequencing ionic currents from nucleotide chemical structuresHongxu Ding, Ioannis Anastopoulos, Andrew D Bailey, et al.
Bioinformatics (Oxford, England)|June 30, 2020
Gaussian mixture model-based unsupervised nucleotide modification number detection using nanopore-sequencing readoutsHongxu Ding, Andrew D Bailey, Miten Jain, et al.
Cell Reports Methods|June 18, 2024
Single-cell signatures identify microenvironment factors in tumors associated with patient outcomesYuanqing Xue, Verena Friedl, Hongxu Ding, et al.
Scientific Reports|May 23, 2024
The manatee variational autoencoder model for predicting gene expression alterations caused by transcription factor perturbationsYing Yang, Lucas Seninge, Ziyuan Wang, et al.
Journal of Respiratory Biology and Translational Medicine|March 26, 2024
Single Cell Analysis of Lung Lymphatic Endothelial Cells and Lymphatic Responses during Influenza InfectionJian Ge, Hongxia Shao, Hongxu Ding, et al.
Scientific Reports|December 24, 2022
Development and validation of SSR markers related to flower color based on full-length transcriptome sequencing in ChrysanthemumZhongya Shi, Wenqian Zhao, Zhongai Li, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|March 27, 2018
iterClust: a statistical framework for iterative clustering analysisHongxu Ding, Wanxin Wang, Andrea Califano
American Journal of Clinical Pathology|March 4, 2025
Histopathologic and genetic distinction of well-differentiated grade 3 neuroendocrine tumor versus poorly-differentiated neuroendocrine carcinoma in high-grade neuroendocrine neoplasmsBelinda L Sun, Hongxu Ding, Xiaoguang Sun
Nature Communications|September 29, 2021
VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomicsLucas Seninge, Ioannis Anastopoulos, Hongxu Ding, et al.
Nature Communications|October 27, 2019
Biological process activity transformation of single cell gene expression for cross-species alignmentHongxu Ding, Andrew Blair, Ying Yang, et al.
Nature Communications|November 12, 2021
Towards inferring nanopore sequencing ionic currents from nucleotide chemical structuresHongxu Ding, Ioannis Anastopoulos, Andrew D Bailey, et al.
Bioinformatics (Oxford, England)|June 30, 2020
Gaussian mixture model-based unsupervised nucleotide modification number detection using nanopore-sequencing readoutsHongxu Ding, Andrew D Bailey, Miten Jain, et al.
Cell Reports Methods|June 18, 2024
Single-cell signatures identify microenvironment factors in tumors associated with patient outcomesYuanqing Xue, Verena Friedl, Hongxu Ding, et al.
Scientific Reports|May 23, 2024
The manatee variational autoencoder model for predicting gene expression alterations caused by transcription factor perturbationsYing Yang, Lucas Seninge, Ziyuan Wang, et al.
Journal of Respiratory Biology and Translational Medicine|March 26, 2024
Single Cell Analysis of Lung Lymphatic Endothelial Cells and Lymphatic Responses during Influenza InfectionJian Ge, Hongxia Shao, Hongxu Ding, et al.
Scientific Reports|December 24, 2022
Development and validation of SSR markers related to flower color based on full-length transcriptome sequencing in ChrysanthemumZhongya Shi, Wenqian Zhao, Zhongai Li, et al.
Pageof 4