Author

Y. L. Liu

Primary ORCID profile (0000-0002-4524-2930 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Y. L. LiuiD1 paper · Guangzhou Medical University

Biology Disciplines

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Cancer Biology· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Da Cruz Paula· 1 shared A. E. B. Ruiz· 1 shared A. J. Levine· 1 shared A. Maroldi· 1 shared A. Pasha· 1 shared A. R. Tannenbaum· 1 shared A. Stylianou· 1 shared A. Viale· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. Da Cruz Paula

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Author profile →

3 papers

Recent·Most cited

The world's first cloned golden wild yak via interspecific SCNT: 4800m donor origin and 4200m vitrified blastocyst transfer

Dawei Yu, Qiang Zhang, Lei Cao, Shigang Gu, Yurong Zhang, Chang Liu, Kangjun Yin, Jing Wang, Bo Pan, Y. L. Liu, Guangbin Zhou, Daoliang Lan, Yongye Huang, Wangdui Basang

This paper reports the first successful cloning of a golden wild yak using interspecific somatic cell nuclear transfer under extreme high-altitude conditions.

bioRxiv · Mar 31, 2026 · PreprintGenetics

Immune and malignant cell phenotypes of ovarian cancer are determined by distinct mutational processes

I. Vazquez-Garcia, F. Uhlitz, N. Ceglia, J. L. P. Lim, M. Wu, N. Mohibullah, A. E. B. Ruiz, K. M. Boehm, V. Bojilova, C. J. Fong, T. Funnell, D. Grewal, E. Havasov, S. Leung, A. Pasha, , Nikolovsk

This study identifies distinct immune and malignant cell phenotypes in ovarian cancer linked to specific mutational processes and anatomic sites.

bioRxiv · Aug 24, 2021Cancer Biology

Geometric Network Analysis Provides Prognostic Information in Patients with High Grade Serous Carcinoma of the Ovary Treated with Immune Checkpoint Inhibitors

R. Elkin, J. H. Oh, Y. L. Liu, P. Selenica, B. Weigelt, J. S. Reis-Filho, D. Zamarin, J. O. Deasy, L. Norton, A. J. Levine, A. R. Tannenbaum

This paper introduces a network curvature-based method to predict prognosis in high-grade serous ovarian cancer patients treated with immune checkpoint inhibitors using copy number alterations.

bioRxiv · Jun 10, 2021Cancer Biology