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

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, E. de Rinaldis, 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.

bioRxiv · Feb 1, 2021 · PreprintImmunology

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

R. Hanamsagar, T. Reizis, M. Chamberlain, R. Marcus, F. Nestle, E. de Rinaldis, 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.

bioRxiv · Nov 4, 2019Immunology