Author

Tina X. Chen

Massachusetts Institute of TechnologyORCID 0009-0007-9542-7777Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam SciambiiD· 1 shared Dennis J. EastburniD· 1 shared Divyansh AgarwaliD· 1 shared Hagop M. KantarjianiD· 1 shared Jairo A. MatthewsiD· 1 shared Jennifer A. Geis· 1 shared Jose P. Jacob· 1 shared Kaustubh Gokhale· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Adam SciambiORCID

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2 papers

Recent·Most cited

GenomicsPLoS Computational BiologyPeer-reviewedMar 2, 2026

Assessment of dispersion metrics for estimating single-cell transcriptional variability

Tina X. Chen, Laurie A. Boyer, Divyansh Agarwal

This study evaluates dispersion metrics for estimating transcriptional variability in single-cell RNA sequencing data and finds the variance-to-mean ratio is scale-invariant and responsive to noise.

4 citationstop 2%

mousescRNA-seq

𝕏 PostBluesky

GenomicsGenome ResearchPeer-reviewedSep 1, 2018

High-throughput single-cell DNA sequencing of AML tumors with droplet microfluidics

Maurizio Pellegrino, Adam Sciambi, Sebastian Treusch…·Dennis J. Eastburn

This study develops a microfluidic method for single-cell DNA sequencing of AML tumors, revealing clonal evolution not detectable by bulk sequencing.

229 citations

humanwhole-genome sequencing

𝕏 PostBluesky