Author

Arpan Sarkar

Harvard UniversityORCID 0000-0003-0362-2123Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Chee-Huat Linus Eng· 1 shared Feng BaoiD· 1 shared Guo‐Cheng YuaniD· 1 shared Huipeng LiiD· 1 shared Kan LiuiD· 1 shared Kumaresh KrishnaniD· 1 shared Long CaiiD· 1 shared Nico G PiersoniD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Chee-Huat Linus Eng

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 4, 2024

Protein sequence domain annotation using a language model

Arpan Sarkar, Kumaresh Krishnan, Sean R. Eddy

PSALM annotates protein domains using a language model, achieving sensitivity-specificity tradeoff comparable to HMMER on a large benchmark.

1 citation

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsGenome biologyPeer-reviewedMar 8, 2021

Giotto, a toolbox for integrative analysis and visualization of spatial expression data

Ruben Dries, Qian Zhu, Rui Dong…·Guo‐Cheng Yuan

Giotto is a toolbox for analyzing and visualizing spatial transcriptomic and proteomic data, offering integration with single-cell RNA-seq and supporting diverse datasets.

938 citationstop 1%

spatial transcriptomicsproteomics

𝕏 PostBluesky