Capturing single-cell heterogeneity via data fusion improves image-based profiling

A challenge with single-cell resolution methods is that cell heterogeneity should be captured while allowing for comparisons between populations. Here the authors fuse information from the dispersion profiles with the average profiles at the level of profiles’ similarity matrices for single cell ima...

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Autores principales:	Mohammad H. Rohban, Hamdah S. Abbasi, Shantanu Singh, Anne E. Carpenter
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/1960879fb520478bb38c90d85f45b3ae
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spelling	oai:doaj.org-article:1960879fb520478bb38c90d85f45b3ae2021-12-02T15:35:49ZCapturing single-cell heterogeneity via data fusion improves image-based profiling10.1038/s41467-019-10154-82041-1723https://doaj.org/article/1960879fb520478bb38c90d85f45b3ae2019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10154-8https://doaj.org/toc/2041-1723A challenge with single-cell resolution methods is that cell heterogeneity should be captured while allowing for comparisons between populations. Here the authors fuse information from the dispersion profiles with the average profiles at the level of profiles’ similarity matrices for single cell imaging data.Mohammad H. RohbanHamdah S. AbbasiShantanu SinghAnne E. CarpenterNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-6 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mohammad H. Rohban Hamdah S. Abbasi Shantanu Singh Anne E. Carpenter Capturing single-cell heterogeneity via data fusion improves image-based profiling
description	A challenge with single-cell resolution methods is that cell heterogeneity should be captured while allowing for comparisons between populations. Here the authors fuse information from the dispersion profiles with the average profiles at the level of profiles’ similarity matrices for single cell imaging data.
format	article
author	Mohammad H. Rohban Hamdah S. Abbasi Shantanu Singh Anne E. Carpenter
author_facet	Mohammad H. Rohban Hamdah S. Abbasi Shantanu Singh Anne E. Carpenter
author_sort	Mohammad H. Rohban
title	Capturing single-cell heterogeneity via data fusion improves image-based profiling
title_short	Capturing single-cell heterogeneity via data fusion improves image-based profiling
title_full	Capturing single-cell heterogeneity via data fusion improves image-based profiling
title_fullStr	Capturing single-cell heterogeneity via data fusion improves image-based profiling
title_full_unstemmed	Capturing single-cell heterogeneity via data fusion improves image-based profiling
title_sort	capturing single-cell heterogeneity via data fusion improves image-based profiling
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/1960879fb520478bb38c90d85f45b3ae
work_keys_str_mv	AT mohammadhrohban capturingsinglecellheterogeneityviadatafusionimprovesimagebasedprofiling AT hamdahsabbasi capturingsinglecellheterogeneityviadatafusionimprovesimagebasedprofiling AT shantanusingh capturingsinglecellheterogeneityviadatafusionimprovesimagebasedprofiling AT anneecarpenter capturingsinglecellheterogeneityviadatafusionimprovesimagebasedprofiling
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Capturing single-cell heterogeneity via data fusion improves image-based profiling

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