Author

Xingzhi Niu

University of Nebraska Medical CenterORCID 0009-0008-6898-8314Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xingzhi Niu1 paper · University of Washington Tacoma

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Avinash D SahuiD· 1 shared Deepali L. KundnaniiD· 1 shared Jieqiong WangiD· 1 shared Li SongiD· 1 shared Luis E. Tafoya· 1 shared Mikaela DicomeiD· 1 shared Murad R. MamedoviD· 1 shared Shibiao WaniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperImmunology

Avinash D SahuORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintSep 1, 2026

Tumor γδ T-cell abundance is associated with favorable cancer treatment outcomes

Xingzhi Niu, Deepali L. Kundnani, Mikaela Dicome…·Avinash D Sahu

This study finds that higher pretreatment γδ T-cell abundance is linked to better outcomes in cancer patients receiving immune checkpoint blockade and improved survival across multiple tumor types.

DOI 10.64898/2026.08.27.747587

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 18, 2026

PalmaClust: A graph-fusion framework leveraging the Palma ratio for robust ultra-rare cell type detection in scRNA-seq data

Xingzhi Niu, Jieqiong Wang, Shibiao Wan

PalmaClust detects ultra-rare cell types in scRNA-seq by fusing graphs based on the Palma ratio, improving rare-class F1 scores by 20% over existing methods.

DOI 10.64898/2026.03.16.712161

scRNA-seqstatistical model

𝕏 PostBluesky