Erratum: Identifying genuine protein–protein interactions within communities of gene co-expression networks using a deconvolution method

IF 1.9 4区生物学 Q4 CELL BIOLOGY

IET Systems Biology Pub Date : 2022-10-29 DOI:10.1049/syb2.12053

引用次数: 0

Abstract

The authors wish to bring to the readers' attention the following errors in the article by Jin Zhang and Shan Ju, ‘Identifying genuine protein–protein interactions within communities of gene co-expression networks using a deconvolution method’.

In Section 5 Acknowledgements, one grant/award number was omitted. ‘XBS’ should be ‘XBS1822’.

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勘误:鉴定真正的蛋白质蛋白质相互作用的社区内的基因共表达网络使用反卷积方法

作者希望提请读者注意Jin Zhang和Shan Ju的文章“使用反卷积方法识别基因共表达网络群落中真正的蛋白质-蛋白质相互作用”中的以下错误。在第5节致谢中，遗漏了一个拨款/奖励号。“XBS”应该是“XBS1822”。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IET Systems Biology 生物-数学与计算生物学

CiteScore

4.20

自引率

4.30%

发文量

审稿时长

>12 weeks

期刊介绍： IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.