J
Jaison Jain
Researcher at New York University
Publications - 3
Citations - 6298
Jaison Jain is an academic researcher from New York University. The author has contributed to research in topics: Context (language use). The author has an hindex of 2, co-authored 3 publications receiving 393 citations.
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Integrated analysis of multimodal single-cell data
Yuhan Hao,Stephanie Hao,Erica Andersen-Nissen,William M. Mauck,Shiwei Zheng,Andrew Butler,Maddie Jane Lee,Aaron J. Wilk,Charlotte A. Darby,Michael Zager,Paul Hoffman,Marlon Stoeckius,Efthymia Papalexi,Eleni P. Mimitou,Jaison Jain,Avi Srivastava,Tim Stuart,Lamar M. Fleming,Bertrand Z. Yeung,Angela J. Rogers,Juliana M. McElrath,Catherine A. Blish,Raphael Gottardo,Peter Smibert,Rahul Satija +24 more
TL;DR: Weighted-nearest neighbor analysis as mentioned in this paper is an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities.
Posted ContentDOI
Integrated analysis of multimodal single-cell data
Yuhan Hao,Stephanie Hao,Erica Andersen-Nissen,William M. Mauck,Shiwei Zheng,Andrew Butler,Maddie Jane Lee,Aaron J. Wilk,Charlotte A. Darby,Michael Zagar,Paul Hoffman,Marlon Stoeckius,Efthymia Papalexi,Eleni P. Mimitou,Jaison Jain,Avi Srivastava,Tim Stuart,Lamar Ballweber Fleming,Bertrand Z. Yeung,Angela J. Rogers,Juliana M. McElrath,Catherine A. Blish,Raphael Gottardo,Peter Smibert,Rahul Satija +24 more
TL;DR: ‘weighted-nearest neighbor’ analysis is introduced, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities.
Posted ContentDOI
geneBasis: an iterative approach for unsupervised selection of targeted gene panels from scRNA-seq
Alsu Missarova,Alsu Missarova,Jaison Jain,Andrew A. Butler,Shila Ghazanfar,Tim Stuart,Maigan A. Brusko,Clive Wasserfall,Harry S. Nick,Todd M. Brusko,Mark A. Atkinson,Rahul Satija,John C. Marioni,John C. Marioni,John C. Marioni +14 more
TL;DR: Marioni et al. as mentioned in this paper proposed an iterative approach, geneBasis, for selecting an optimal gene panel, where each newly added gene captures the maximum distance between the true manifold and the manifold constructed using the currently selected gene panel.