Author

X. W. Wang

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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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

L. Ma· 2 shared A. A. Schäffer· 1 shared B. Gasmi· 1 shared B. J. Wood· 1 shared B. Tran· 1 shared C. C. Harris· 1 shared C. Sahinalp· 1 shared C. Seibert· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

L. Ma

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2 papers

Recent·Most cited

Single-cell atlas of tumor clonal evolution in liver cancer

L. Ma, L. Wang, C.-W. Chang, S. Heinrich, D. Dominguez, M. Forgues, J. Candia, M. O. Hernandez, M. Kelly, Y. Zhao, B. Tran, J. M. Hernandez, J. L. Davis, D. E. Kleiner, B. J. Wood, , X. W. Wang

This study constructs a single-cell atlas of liver cancer tumor clonality using machine learning and identifies osteopontin as a key driver of tumor evolution and immune reprogramming.

bioRxiv · Aug 18, 2020Cancer Biology

scRNA-seq analysis of colon and esophageal tumors uncovers abundant microbial reads in myeloid cells undergoing proinflammatory transcriptional alterations

W. Robinson, J. K. Stone, F. Schischlik, B. Gasmi, M. C. Kelly, C. Seibert, K. Dadkhah, E. M. Gertz, J. S. Lee, K. Zhu, L. Ma, X. W. Wang, C. Sahinalp, R. Patro, M. D. Leiserson, , E. Ruppin

The paper develops a computational pipeline to identify microbial reads in scRNA-seq data and finds that microbial reads are enriched in myeloid cells with proinflammatory transcriptional changes.

bioRxiv · May 14, 2020 · PreprintCancer Biology