Author

Shreya Gaddam

Broad InstituteORCID 0009-0000-0540-335XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Tommaso BiancalaniiD· 2 shared Aïcha BenTaiebiD· 1 shared Alma AnderssoniD· 1 shared Aviv RegeviD· 1 shared Baoliang GeiD· 1 shared David RichmondiD· 1 shared Emanuelle I. GrodyiD· 1 shared Gabriele ScaliaiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Tommaso BiancalaniORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintSep 28, 2025

Inferring cellular communication through mapping cells in space using Tangram 2

Hejin Huang, Alma Andersson, Sunny Z. Wu…·Tommaso Biancalani

Tangram2 maps cell-to-cell communication by integrating spatial transcriptomics with single-cell RNA sequencing to identify gene expression changes driven by neighboring cell types.

DOI 10.1101/2025.09.28.679077

humanspatial transcriptomics

𝕏 PostBluesky

GenomicsbioRxivPreprintNov 30, 2021

Raman2RNA: Live-cell label-free prediction of single-cell RNA expression profiles by Raman microscopy

Koseki J. Kobayashi-Kirschvink, Shreya Gaddam, Taylor James-Sorenson…·Aviv Regev

Raman2RNA predicts single-cell RNA expression profiles from live-cell Raman microscopy images using machine learning, achieving high accuracy in tracking cell state transitions during reprogramming.

17 citations

mouseRibo-seq

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