Author

Taylor James-Sorenson

Broad Institute

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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Genomics· 1

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:Ribo-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Aviv RegeviD· 1 shared Baoliang GeiD· 1 shared Emanuelle I. GrodyiD· 1 shared Jeon Woong KangiD· 1 shared Jian ShuiD· 1 shared Johain R. OunadjelaiD· 1 shared Ke ZhangiD· 1 shared Koseki J. Kobayashi-KirschvinkiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Aviv RegevORCID

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1 paper

Recent·Most cited

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

Koseki J. Kobayashi-Kirschvink, Shreya Gaddam, Taylor James-Sorenson, Emanuelle I. Grody, Johain R. Ounadjela, Baoliang Ge, Ke Zhang, Jeon Woong Kang, Ramnik J. Xavier, Peter T. C. So, Tommaso Biancalani, Jian Shu, 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.

bioRxiv · Nov 30, 2021 · PreprintGenomics