Author

Xiaodong Su

Peking UniversityORCID 0000-0002-5956-2126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:spatial domain detection· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Antonio IavaroneiD· 3 shared Francesca Pia CarusoiD· 2 shared Fuchou TangiD· 2 shared Kai YuiD· 2 shared Michele CeccarelliiD· 2 shared Anna LasorellaiD· 1 shared Antonio De FalcoiD· 1 shared Davide BedognettiiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersBioinformatics

Antonio IavaroneORCID

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3 papers

Recent·Most cited

A fast variational algorithm to detect the clonal copy number substructure of tumors from single-cell data

Antonio De Falco, Francesca Pia Caruso, Xiaodong Su, Antonio Iavarone, Michele Ceccarelli

SCEVAN is a fast variational algorithm that deconvolves clonal substructure in tumors from single-cell data, accurately distinguishing malignant and non-malignant cells.

bioRxiv · Nov 20, 2021 · PreprintBioinformatics

A MAP of tumor-host interactions in glioma at single cell resolution

Francesca Pia Caruso, Luciano Garofano, Fulvio D’Angelo, Kai Yu, Fuchou Tang, Jinzhou Yuan, Jing Zhang, Luigi Cerulo, Stefano Maria Pagnotta, Davide Bedognetti, Peter A. Sims, Mario L. Suvà, Xiaodong Su, Anna Lasorella, Antonio Iavarone, Michele Ceccarelli

The paper introduces scTHI, a method to identify ligand-receptor interactions in glioma using single-cell RNA sequencing data from six human datasets.

GigaScience · Oct 1, 2020Peer-reviewedBioinformatics

Surveying Brain Tumor Heterogeneity by Single-Cell RNA Sequencing of Multi-sector Biopsies

Kai Yu, Yuqiong Hu, Fan Wu, Qiufang Guo, Zenghui Qian, Waner Hu, Jing Chen, Kuanyu Wang, Xiaoying Fan, Xinglong Wu, John E.J. Rasko, Xiaolong Fan, Antonio Iavarone, Tao Jiang, Fuchou Tang, Xiaodong Su

This study uses single-cell RNA sequencing on multi-sector glioma biopsies to analyze tumor heterogeneity, revealing spatial patterns of invasion, progression branches, and cell-cell communication.

National Science Review · May 29, 2020Peer-reviewedGenomics