Author

Lorenzo Buffoni

University of FlorenceORCID 0000-0002-8191-3375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:batch correction / integration· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aman SangeriD· 1 shared Åsa SegerstolpeiD· 1 shared Aviv RegeviD· 1 shared Ayshwarya SubramanianiD· 1 shared Charles R. VanderburgiD· 1 shared Duccio FanelliiD· 1 shared Evan Z. MacoskoiD· 1 shared Gabriele ScaliaiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Aman SangerORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Deep learning and alignment of spatially-resolved whole transcriptomes of single cells in the mouse brain with Tangram

Tommaso Biancalani, Gabriele Scalia, Lorenzo Buffoni, Raghav Avasthi, Ziqing Lu, Aman Sanger, Neriman Tokcan, Charles R. Vanderburg, Åsa Segerstolpe, Meng Zhang, Inbal Avraham‐Davidi, Sanja Vicković, Mor Nitzan, Sai Ma, Ayshwarya Subramanian, , Aviv Regev

The paper introduces Tangram, a method that aligns single-nucleus RNA-seq data with spatial data to create an anatomically integrated spatial map of the mouse brain.

Nature Methods · Oct 28, 2021Peer-reviewedGenomics