Author

K. Shao

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

Y. Hu· 2 shared Z. Zhang· 2 shared B. Afzali· 1 shared B. Cao· 1 shared B. Song· 1 shared B. Xia· 1 shared B. Yan· 1 shared B. Zhao· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

Y. Hu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A comprehensive single cell data analysis of in lymphoblastoid cells reveals the role of Super-enhancers in maintaining EBV latency

B. Yan, C. Wang, S. Chakravorty, Z. Zhang, S. D. Kadadi, Y. Zhuang, I. Sirit, Y. Hu, M. Jung, S. Sahoo, L. Wang, K. Shao, N. L. Anderson, J. L. Trujillo-Ochoa, X. Liu, , M. Kazemian

This study uses scRNA-seq to analyze EBV latency in lymphoblastoid cells, identifying two distinct clusters with different EBV gene expression and revealing the role of super-enhancers in maintaining latency.

bioRxiv · Aug 10, 2022Microbiology

Gene Panel Sequencing in a Chinese High-risk Breast Cancer Cohort

X. Zhang, X. Wang, B. Song, K. Shao, G. Li, W. Jian, C. Lin, M. Wang, X. Ye, J. Xie, B. Xia, S. Xu, B. Cao, L. Xiao, Z. Zhang, , D. Pang

The paper analyzes gene panel sequencing data from 829 Chinese high-risk breast cancer patients to identify pathogenic variants and variants of uncertain significance across 115 hereditary cancer susceptibility genes.

bioRxiv · Jun 7, 2019 · PreprintCancer Biology

Geographic Patterns of Bacterioplankton among Lakes of the Middle and Lower Reaches of the Yangtze River Basin, China

C. Bai, J. Cai, L. Zhou, X. Jiang, Y. Hu, J. Dai, K. Shao, X. Tang, X. Yang, G. Gao

The paper examines geographic patterns of bacterioplankton in interconnected lakes of the Yangtze River Basin, finding that distance-decay relationships and stochastic processes dominate bacterial community assembly.

bioRxiv · Jan 31, 2019Microbiology