Deep phenotyping unveils hidden traits and genetic relations in subtle mutants

Experimenter scoring of cellular imaging data can be biased. This study describes an automated and unbiased multidimensional phenotyping method that relies on machine learning and complex feature computation of imaging data, and identifies weak alleles affecting synapse morphology in live C. elegans...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Adriana San-Miguel, Peri T. Kurshan, Matthew M. Crane, Yuehui Zhao, Patrick T. McGrath, Kang Shen, Hang Lu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
Materias:
Q
Acceso en línea:https://doaj.org/article/03b8216cade54677a546756f6c9445f4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:03b8216cade54677a546756f6c9445f4
record_format dspace
spelling oai:doaj.org-article:03b8216cade54677a546756f6c9445f42021-12-02T14:39:13ZDeep phenotyping unveils hidden traits and genetic relations in subtle mutants10.1038/ncomms129902041-1723https://doaj.org/article/03b8216cade54677a546756f6c9445f42016-11-01T00:00:00Zhttps://doi.org/10.1038/ncomms12990https://doaj.org/toc/2041-1723Experimenter scoring of cellular imaging data can be biased. This study describes an automated and unbiased multidimensional phenotyping method that relies on machine learning and complex feature computation of imaging data, and identifies weak alleles affecting synapse morphology in live C. elegans.Adriana San-MiguelPeri T. KurshanMatthew M. CraneYuehui ZhaoPatrick T. McGrathKang ShenHang LuNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Adriana San-Miguel
Peri T. Kurshan
Matthew M. Crane
Yuehui Zhao
Patrick T. McGrath
Kang Shen
Hang Lu
Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
description Experimenter scoring of cellular imaging data can be biased. This study describes an automated and unbiased multidimensional phenotyping method that relies on machine learning and complex feature computation of imaging data, and identifies weak alleles affecting synapse morphology in live C. elegans.
format article
author Adriana San-Miguel
Peri T. Kurshan
Matthew M. Crane
Yuehui Zhao
Patrick T. McGrath
Kang Shen
Hang Lu
author_facet Adriana San-Miguel
Peri T. Kurshan
Matthew M. Crane
Yuehui Zhao
Patrick T. McGrath
Kang Shen
Hang Lu
author_sort Adriana San-Miguel
title Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
title_short Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
title_full Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
title_fullStr Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
title_full_unstemmed Deep phenotyping unveils hidden traits and genetic relations in subtle mutants
title_sort deep phenotyping unveils hidden traits and genetic relations in subtle mutants
publisher Nature Portfolio
publishDate 2016
url https://doaj.org/article/03b8216cade54677a546756f6c9445f4
work_keys_str_mv AT adrianasanmiguel deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT peritkurshan deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT matthewmcrane deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT yuehuizhao deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT patricktmcgrath deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT kangshen deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
AT hanglu deepphenotypingunveilshiddentraitsandgeneticrelationsinsubtlemutants
_version_ 1718390693178638336