Author

David Z. Qian

Oregon Health & Science UniversityORCID 0000-0002-5532-2432Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexey DaniloviD· 1 shared Amy E. MoraniD· 1 shared Andrew AdeyiD· 1 shared Changhui Xue· 1 shared Duanchen SuniD· 1 shared Hao Geng· 1 shared Hyun‐Kyung KoiD· 1 shared Janét PittsenbargeriD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alexey DanilovORCID

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2 papers

Recent·Most cited

Understanding the development of enzalutamide resistance based on a functional single-cell approach

Changhui Xue, Hyun‐Kyung Ko, Kasen Shi, Janét Pittsenbarger, Lucien Vu Dao, Kaiyo Shi, Maximilian Libmann, Hao Geng, David Z. Qian

This study uses single-cell RNA-sequencing to identify a therapy-resistant subpopulation in prostate cancer cells and discovers a potential therapeutic target for enzalutamide resistance.

The Prostate · Apr 10, 2025Peer-reviewedCancer Biology

Phenotype-guided subpopulation identification from single-cell sequencing data

Duanchen Sun, Xiangnan Guan, Amy E. Moran, David Z. Qian, Pepper S. Schedin, Mu‐Shui Dai, Alexey Danilov, Joshi Alumkal, Andrew Adey, Paul T. Spellman, Zheng Xia

Scissor identifies cell subpopulations from single-cell data correlated with specific phenotypes using clinical information, revealing biologically relevant subpopulations in lung and melanoma cancers.

bioRxiv · Jun 5, 2020 · PreprintBioinformatics