A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1

To identify differentially expressed and clinically significant mRNAs and construct a potential prediction model for metabolic steatohepatitis (MASH).

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Autores principales:	Liao Shenling, He He, Zeng Yuping, Yang Lidan, Liu Zhi, An Zhenmei, Zhang Mei
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	nomogram metabolic steatohepatitis nonalcoholic steatohepatitis weighted gene co-expression network analysis. Medicine R
Acceso en línea:	https://doaj.org/article/775a239c7c4a4e3ebcfb8058406e21ee
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:775a239c7c4a4e3ebcfb8058406e21ee2021-12-05T14:10:54ZA nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD12391-546310.1515/med-2021-0286https://doaj.org/article/775a239c7c4a4e3ebcfb8058406e21ee2021-05-01T00:00:00Zhttps://doi.org/10.1515/med-2021-0286https://doaj.org/toc/2391-5463To identify differentially expressed and clinically significant mRNAs and construct a potential prediction model for metabolic steatohepatitis (MASH).Liao ShenlingHe HeZeng YupingYang LidanLiu ZhiAn ZhenmeiZhang MeiDe Gruyterarticlenomogrammetabolic steatohepatitisnonalcoholic steatohepatitisweighted gene co-expression network analysis.MedicineRENOpen Medicine, Vol 16, Iss 1, Pp 773-785 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	nomogram metabolic steatohepatitis nonalcoholic steatohepatitis weighted gene co-expression network analysis. Medicine R
spellingShingle	nomogram metabolic steatohepatitis nonalcoholic steatohepatitis weighted gene co-expression network analysis. Medicine R Liao Shenling He He Zeng Yuping Yang Lidan Liu Zhi An Zhenmei Zhang Mei A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
description	To identify differentially expressed and clinically significant mRNAs and construct a potential prediction model for metabolic steatohepatitis (MASH).
format	article
author	Liao Shenling He He Zeng Yuping Yang Lidan Liu Zhi An Zhenmei Zhang Mei
author_facet	Liao Shenling He He Zeng Yuping Yang Lidan Liu Zhi An Zhenmei Zhang Mei
author_sort	Liao Shenling
title	A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
title_short	A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
title_full	A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
title_fullStr	A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
title_full_unstemmed	A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1
title_sort	nomogram for predicting metabolic steatohepatitis: the combination of nampt, ralgds, gadd45b, fosl2, rtp3, and rasd1
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/775a239c7c4a4e3ebcfb8058406e21ee
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A nomogram for predicting metabolic steatohepatitis: The combination of NAMPT, RALGDS, GADD45B, FOSL2, RTP3, and RASD1

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