Multi-domain translation between single-cell imaging and sequencing data using autoencoders

Multi-domain translation between single-cell imaging and sequencing data using autoencoders

Integration of single cell data modalities increases the richness of information about the heterogeneity of cell states, but integration of imaging and transcriptomics is an open challenge. Here the authors use autoencoders to learn a probabilistic coupling and map these modalities to a shared laten...

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Bibliographic Details
Main Authors: Karren Dai Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan, G. V. Shivashankar, Caroline Uhler
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-20249-2

Internet

https://doi.org/10.1038/s41467-020-20249-2

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