VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

Single-cell technologies are increasingly prominent in clinical applications, but predictive modelling with such data in large cohorts has remained computationally challenging. We developed a new algorithm, ‘VoPo’, for predictive modelling and visualization of single cell data for translational appl...

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Autores principales:	Natalie Stanley, Ina A. Stelzer, Amy S. Tsai, Ramin Fallahzadeh, Edward Ganio, Martin Becker, Thanaphong Phongpreecha, Huda Nassar, Sajjad Ghaemi, Ivana Maric, Anthony Culos, Alan L. Chang, Maria Xenochristou, Xiaoyuan Han, Camilo Espinosa, Kristen Rumer, Laura Peterson, Franck Verdonk, Dyani Gaudilliere, Eileen Tsai, Dorien Feyaerts, Jakob Einhaus, Kazuo Ando, Ronald J. Wong, Gerlinde Obermoser, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e63eb4be164c423694059f87cd18e59d
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spelling	oai:doaj.org-article:e63eb4be164c423694059f87cd18e59d2021-12-02T16:24:57ZVoPo leverages cellular heterogeneity for predictive modeling of single-cell data10.1038/s41467-020-17569-82041-1723https://doaj.org/article/e63eb4be164c423694059f87cd18e59d2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17569-8https://doaj.org/toc/2041-1723Single-cell technologies are increasingly prominent in clinical applications, but predictive modelling with such data in large cohorts has remained computationally challenging. We developed a new algorithm, ‘VoPo’, for predictive modelling and visualization of single cell data for translational applications.Natalie StanleyIna A. StelzerAmy S. TsaiRamin FallahzadehEdward GanioMartin BeckerThanaphong PhongpreechaHuda NassarSajjad GhaemiIvana MaricAnthony CulosAlan L. ChangMaria XenochristouXiaoyuan HanCamilo EspinosaKristen RumerLaura PetersonFranck VerdonkDyani GaudilliereEileen TsaiDorien FeyaertsJakob EinhausKazuo AndoRonald J. WongGerlinde ObermoserGary M. ShawDavid K. StevensonMartin S. AngstBrice GaudilliereNima AghaeepourNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Natalie Stanley Ina A. Stelzer Amy S. Tsai Ramin Fallahzadeh Edward Ganio Martin Becker Thanaphong Phongpreecha Huda Nassar Sajjad Ghaemi Ivana Maric Anthony Culos Alan L. Chang Maria Xenochristou Xiaoyuan Han Camilo Espinosa Kristen Rumer Laura Peterson Franck Verdonk Dyani Gaudilliere Eileen Tsai Dorien Feyaerts Jakob Einhaus Kazuo Ando Ronald J. Wong Gerlinde Obermoser Gary M. Shaw David K. Stevenson Martin S. Angst Brice Gaudilliere Nima Aghaeepour VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
description	Single-cell technologies are increasingly prominent in clinical applications, but predictive modelling with such data in large cohorts has remained computationally challenging. We developed a new algorithm, ‘VoPo’, for predictive modelling and visualization of single cell data for translational applications.
format	article
author	Natalie Stanley Ina A. Stelzer Amy S. Tsai Ramin Fallahzadeh Edward Ganio Martin Becker Thanaphong Phongpreecha Huda Nassar Sajjad Ghaemi Ivana Maric Anthony Culos Alan L. Chang Maria Xenochristou Xiaoyuan Han Camilo Espinosa Kristen Rumer Laura Peterson Franck Verdonk Dyani Gaudilliere Eileen Tsai Dorien Feyaerts Jakob Einhaus Kazuo Ando Ronald J. Wong Gerlinde Obermoser Gary M. Shaw David K. Stevenson Martin S. Angst Brice Gaudilliere Nima Aghaeepour
author_facet	Natalie Stanley Ina A. Stelzer Amy S. Tsai Ramin Fallahzadeh Edward Ganio Martin Becker Thanaphong Phongpreecha Huda Nassar Sajjad Ghaemi Ivana Maric Anthony Culos Alan L. Chang Maria Xenochristou Xiaoyuan Han Camilo Espinosa Kristen Rumer Laura Peterson Franck Verdonk Dyani Gaudilliere Eileen Tsai Dorien Feyaerts Jakob Einhaus Kazuo Ando Ronald J. Wong Gerlinde Obermoser Gary M. Shaw David K. Stevenson Martin S. Angst Brice Gaudilliere Nima Aghaeepour
author_sort	Natalie Stanley
title	VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
title_short	VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
title_full	VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
title_fullStr	VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
title_full_unstemmed	VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
title_sort	vopo leverages cellular heterogeneity for predictive modeling of single-cell data
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e63eb4be164c423694059f87cd18e59d
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VoPo leverages cellular heterogeneity for predictive modeling of single-cell data

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