Author

R. Hanamsagar

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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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

E. de Rinaldis· 2 shared M. Chamberlain· 2 shared V. Savova· 2 shared F. Nestle· 1 shared F. O. Nestle· 1 shared R. Marcus· 1 shared T. Reizis· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersImmunology

E. de Rinaldis

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintFeb 1, 2021

Cell type classification and discovery across diseases, technologies and tissues reveals conserved gene signatures and enables standardized single-cell readouts

M. Chamberlain, R. Hanamsagar, F. O. Nestle…·V. Savova

The paper introduces Signac, a machine learning method for classifying single-cell RNA-sequencing data across diseases and tissues, and identifies drug targets in rheumatoid arthritis.

DOI 10.1101/2021.02.01.429207

humanscRNA-seq

𝕏 PostBluesky

ImmunologybioRxivNov 4, 2019

An optimized workflow for single-cell transcriptomics and repertoire profiling of purified lymphocytes from clinical samples.

R. Hanamsagar, T. Reizis, M. Chamberlain…·V. Savova

The paper optimizes workflows for single-cell transcriptomics and repertoire profiling of purified lymphocytes from clinical samples, identifying best practices for viability, yield, and data quality.

DOI 10.1038/s41598-020-58939-y

humanscRNA-seq

𝕏 PostBluesky