Author

V. Khadka

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:deep learning· 3 Research Focus:differential expression· 3 Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Y. Deng· 2 shared A. Multani· 1 shared A. Yu· 1 shared B. Jiyarom· 1 shared C. Shikuma· 1 shared D. A. Relman· 1 shared D. Chow· 1 shared E. Zitello· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

Y. Deng

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Single-cell RNA sequencing reveals characteristics of myeloid cells in pulmonary post-acute sequelae of SARS-CoV-2

H. Yoon, L. S. Dean, B. Jiyarom, V. Khadka, Y. Deng, V. R. Nerurkar, D. Chow, C. Shikuma, G. Devendra, Y. Koh, J. Park

This study uses single-cell RNA sequencing to analyze myeloid cells in PBMCs from PPASC patients and controls, identifying increased myeloid lineage cells and altered gene expression linked to fibrosis and immune suppression.

bioRxiv · Jul 31, 2023 · PreprintMicrobiology

JAMMIT Analysis Defines 2 Semi-Independent Immune Processes Common to 29 Solid Tumors

E. Zitello, M. Vo, S. Bowler, S. Chen, T. Wenska, V. Khadka, P. Hoffmann, G. Okimoto, Y. Deng

The paper introduces JAMMIT, an algorithm that identifies three immune-related immunophenotypes common to 29 solid tumors using TCGA data.

bioRxiv · Aug 31, 2021 · PreprintCancer Biology

Combined use of metagenomic sequencing and host response profiling for the diagnosis of suspected sepsis.

H. K. Cheng, S. K. Tan, T. E. Sweeney, P. Jeganathan, T. Briese, V. Khadka, F. Strouts, S. Thair, S. Dalai, M. Hitchcock, A. Multani, J. Aronson, T. Andermann, A. Yu, S. Yang, , D. A. Relman

This study combines metagenomic sequencing and host response profiling to improve sepsis diagnosis by detecting pathogens and guiding clinical decisions.

bioRxiv · Dec 9, 2019 · PreprintMicrobiology