Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis

Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glyc...

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Autores principales:	Bokan Bao, Benjamin P. Kellman, Austin W. T. Chiang, Yujie Zhang, James T. Sorrentino, Austin K. York, Mahmoud A. Mohammad, Morey W. Haymond, Lars Bode, Nathan E. Lewis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0266f2430f0749aa86d6452e4b2f41e3
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spelling	oai:doaj.org-article:0266f2430f0749aa86d6452e4b2f41e32021-12-02T18:01:14ZCorrecting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis10.1038/s41467-021-25183-52041-1723https://doaj.org/article/0266f2430f0749aa86d6452e4b2f41e32021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25183-5https://doaj.org/toc/2041-1723Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glycomics.Bokan BaoBenjamin P. KellmanAustin W. T. ChiangYujie ZhangJames T. SorrentinoAustin K. YorkMahmoud A. MohammadMorey W. HaymondLars BodeNathan E. LewisNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bokan Bao Benjamin P. Kellman Austin W. T. Chiang Yujie Zhang James T. Sorrentino Austin K. York Mahmoud A. Mohammad Morey W. Haymond Lars Bode Nathan E. Lewis Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
description	Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glycomics.
format	article
author	Bokan Bao Benjamin P. Kellman Austin W. T. Chiang Yujie Zhang James T. Sorrentino Austin K. York Mahmoud A. Mohammad Morey W. Haymond Lars Bode Nathan E. Lewis
author_facet	Bokan Bao Benjamin P. Kellman Austin W. T. Chiang Yujie Zhang James T. Sorrentino Austin K. York Mahmoud A. Mohammad Morey W. Haymond Lars Bode Nathan E. Lewis
author_sort	Bokan Bao
title	Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
title_short	Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
title_full	Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
title_fullStr	Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
title_full_unstemmed	Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
title_sort	correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0266f2430f0749aa86d6452e4b2f41e3
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Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis

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