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Erick Armingol
Researcher at University of California, Berkeley
Publications - 9
Citations - 529
Erick Armingol is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 5 publications receiving 122 citations. Previous affiliations of Erick Armingol include Novo Nordisk Foundation & University of California, San Diego.
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Journal ArticleDOI
Deciphering cell-cell interactions and communication from gene expression.
TL;DR: This Review highlights discoveries enabled by analyses of cell–cell interactions from transcriptomic data and reviews the methods and tools used in this context.
Posted ContentDOI
Bacterial modification of the host glycosaminoglycan heparan sulfate modulates SARS-CoV-2 infectivity
Cameron Martino,Cameron Martino,Benjamin P. Kellman,Benjamin P. Kellman,Daniel R. Sandoval,Thomas Mandel Clausen,Thomas Mandel Clausen,Clarisse Marotz,Se Jin Song,Stephen Wandro,Livia S. Zaramela,Rodolfo Salido Benitez,Rodolfo Salido Benitez,Qiyun Zhu,Erick Armingol,Erick Armingol,Erick Armingol,Yoshiki Vázquez-Baeza,Yoshiki Vázquez-Baeza,Daniel McDonald,Daniel McDonald,James T. Sorrentino,James T. Sorrentino,Bryn C. Taylor,Pedro Belda-Ferre,Chenguang Liang,Chenguang Liang,Yujie Zhang,Luca Schifanella,Nichole R. Klatt,Aki S. Havulinna,Aki S. Havulinna,Pekka Jousilahti,Shi Huang,Shi Huang,Niina Haiminen,Laxmi Parida,Ho-Cheol Kim,Austin D. Swafford,Karsten Zengler,Karsten Zengler,Susan Cheng,Susan Cheng,Michael Inouye,Michael Inouye,Teemu J. Niiranen,Teemu J. Niiranen,Mohit Jain,Veikko Salomaa,Jeffrey D. Esko,Nathan E. Lewis,Nathan E. Lewis,Nathan E. Lewis,Rob Knight +53 more
TL;DR: It is shown that commensal host bacterial communities can modify HS and thereby modulate SARS-CoV-2 spike protein binding and that these communities change with host age and sex.
Posted ContentDOI
Inferring the spatial code of cell-cell interactions and communication across a whole animal body
Erick Armingol,Erick Armingol,Chintan Joshi,Hratch M. Baghdassarian,Isaac Shamie,Isaac Shamie,Abbas Ghaddar,Jason S. Chan,Hsuan-Lin Her,Eyleen J. O’Rourke,Nathan E. Lewis,Nathan E. Lewis +11 more
TL;DR: A genetic algorithm is implemented to select the ligand-receptor pairs most informative of the spatial organization of cells and this framework helps identify cell-cell interactions and their relationship with intercellular distances, and decipher molecular bases encoding spatial information in a whole animal.
Posted ContentDOI
Inferring a spatial code of cell-cell interactions across a whole animal bodys
Erick Armingol,Abbas Ghaddar,Chintan Joshi,Hratch M. Baghdassarian,Isaac Shamie,Jason S. Chan,Hsuan-Lin Her,Eyleen J. O’Rourke,Nathan E. Lewis +8 more
TL;DR: In this paper, a 3D atlas of C. elegans cells and a genetic algorithm were used to identify the ligand-receptor pairs most informative of the spatial organization of cells.
Posted ContentDOI
Context-aware deconvolution of cell-cell communication with Tensor-cell2cell
Erick Armingol,Hratch M. Baghdassarian,Cameron Martino,Cameron Martino,Araceli Perez-Lopez,Rob Knight,Nathan E. Lewis +6 more
TL;DR: Tensor-cell2cell as mentioned in this paper is an unsupervised method using tensor decomposition to decipher context-driven intercellular communication by simultaneously accounting for multiple stages, states, or locations of the cells.