FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples

Multiple algorithms exist for predicting heterogeneity and clonal architecture from the bulk sequencing of tumor tissue. Here, the authors report on an algorithm, FastClone, which was developed from a DREAM challenge and show that FastClone can accurately predict clonality in simulated data and data...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yao Xiao, Xueqing Wang, Hongjiu Zhang, Peter J. Ulintz, Hongyang Li, Yuanfang Guan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Q
Acceso en línea:https://doaj.org/article/b8a8a985e0b94c83996a18132f1a4e60
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b8a8a985e0b94c83996a18132f1a4e60
record_format dspace
spelling oai:doaj.org-article:b8a8a985e0b94c83996a18132f1a4e602021-12-02T19:12:30ZFastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples10.1038/s41467-020-18169-22041-1723https://doaj.org/article/b8a8a985e0b94c83996a18132f1a4e602020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18169-2https://doaj.org/toc/2041-1723Multiple algorithms exist for predicting heterogeneity and clonal architecture from the bulk sequencing of tumor tissue. Here, the authors report on an algorithm, FastClone, which was developed from a DREAM challenge and show that FastClone can accurately predict clonality in simulated data and data from colon cancer.Yao XiaoXueqing WangHongjiu ZhangPeter J. UlintzHongyang LiYuanfang GuanNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Yao Xiao
Xueqing Wang
Hongjiu Zhang
Peter J. Ulintz
Hongyang Li
Yuanfang Guan
FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
description Multiple algorithms exist for predicting heterogeneity and clonal architecture from the bulk sequencing of tumor tissue. Here, the authors report on an algorithm, FastClone, which was developed from a DREAM challenge and show that FastClone can accurately predict clonality in simulated data and data from colon cancer.
format article
author Yao Xiao
Xueqing Wang
Hongjiu Zhang
Peter J. Ulintz
Hongyang Li
Yuanfang Guan
author_facet Yao Xiao
Xueqing Wang
Hongjiu Zhang
Peter J. Ulintz
Hongyang Li
Yuanfang Guan
author_sort Yao Xiao
title FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
title_short FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
title_full FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
title_fullStr FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
title_full_unstemmed FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
title_sort fastclone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/b8a8a985e0b94c83996a18132f1a4e60
work_keys_str_mv AT yaoxiao fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
AT xueqingwang fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
AT hongjiuzhang fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
AT peterjulintz fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
AT hongyangli fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
AT yuanfangguan fastcloneisaprobabilistictoolfordeconvolutingtumorheterogeneityinbulksequencingsamples
_version_ 1718377061113921536