An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling

Signalling responses are marked by substantial cell-to-cell variability. Here, the authors propose an information theoretic framework that accounts for multiple inputs and temporal dynamics to analyse how signals flow through shared network components.

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Autores principales:	Tomasz Jetka, Karol Nienałtowski, Sarah Filippi, Michael P. H. Stumpf, Michał Komorowski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2daf3e307ce74d31936f4ab4d8af4613
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spelling	oai:doaj.org-article:2daf3e307ce74d31936f4ab4d8af46132021-12-02T17:32:47ZAn information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling10.1038/s41467-018-07085-12041-1723https://doaj.org/article/2daf3e307ce74d31936f4ab4d8af46132018-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07085-1https://doaj.org/toc/2041-1723Signalling responses are marked by substantial cell-to-cell variability. Here, the authors propose an information theoretic framework that accounts for multiple inputs and temporal dynamics to analyse how signals flow through shared network components.Tomasz JetkaKarol NienałtowskiSarah FilippiMichael P. H. StumpfMichał KomorowskiNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tomasz Jetka Karol Nienałtowski Sarah Filippi Michael P. H. Stumpf Michał Komorowski An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
description	Signalling responses are marked by substantial cell-to-cell variability. Here, the authors propose an information theoretic framework that accounts for multiple inputs and temporal dynamics to analyse how signals flow through shared network components.
format	article
author	Tomasz Jetka Karol Nienałtowski Sarah Filippi Michael P. H. Stumpf Michał Komorowski
author_facet	Tomasz Jetka Karol Nienałtowski Sarah Filippi Michael P. H. Stumpf Michał Komorowski
author_sort	Tomasz Jetka
title	An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
title_short	An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
title_full	An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
title_fullStr	An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
title_full_unstemmed	An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
title_sort	information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/2daf3e307ce74d31936f4ab4d8af4613
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An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling

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