rXTalkViz:量化、可视化和报告功能通路交叉途径致癌足迹的 R 软件包

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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引用次数: 0

摘要

对生物标志物进行差异表达分析,然后进行富集测试,以单变量方式确定富集通路或功能术语的作用。富集通路之间的交叉对话也是更好地解读肿瘤微环境的复杂性及其转移和/或耐药性潜在机制的关键。在这里,我们开发了 rXTalkViz R 软件包,它以一种新颖的方式满足了量化和制作可发表的功能交叉对话可视化的需求。我们假设,使用 rXTalkViz 可以增强我们对功能性交叉对话在癌症进展中的贡献的理解,并无缝地帮助进一步的生物标记下游分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
rXTalkViz: A R package to quantify, visualize, and report carcinogenic footprints of functional pathway cross-talks
Differential expression analysis of biomarkers followed by the enrichment tests identifies the roles of enriched pathways or functional terms in a univariate manner. Cross-talks among enriched pathways are also key to better deciphering the complexity of tumor micro-environment and underlying mechanisms of its metastasization and/or drug resistance. Here we develop the rXTalkViz R package that facilitates an unmet need for quantifying and producing publication-ready visualization for functional cross-talk in a novel manner. We hypothesize that using rXTalkViz may enhance our understanding of the contribution of functional cross-talks in cancer progression and seamlessly aid further downstream analysis of biomarker.
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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
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0
审稿时长
16 days
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