当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
rScudo: an R package for classification of molecular profiles using rank-based signatures.
Bioinformatics ( IF 4.4 ) Pub Date : 2020-05-12 , DOI: 10.1093/bioinformatics/btaa296
Matteo Ciciani 1 , Thomas Cantore 1 , Mario Lauria 2, 3
Affiliation  

The classification of biological samples by means of their respective molecular profiles is a topic of great interest for its potential diagnostic, prognostic and investigational applications. rScudo is an R package for the classification of molecular profiles based on a radically new approach consisting in the analysis of the similarity of rank-based sample-specific signatures. The validity of rScudo unconventional approach has been validated through direct comparison with current methods in the international SBV IMPROVER Diagnostic Signature Challenge. Due to its novelty, there is ample room for conceptual improvements and for exploring additional applications. The rScudo package has been specifically designed to facilitate experimenting with the rank-based signature approach, to test its application to different types of molecular profiles and to simplify direct comparison with existing methods.

中文翻译:

rScudo:一个R包,用于使用基于秩的签名对分子谱进行分类。

由于其潜在的诊断,预后和研究应用,通过其各自的分子谱对生物样品进行分类是一个非常感兴趣的话题。rScudo是一种R软件包,用于基于一种全新的方法对分子谱进行分类,该方法包括对基于等级的样本特定签名的相似性进行分析。rScudo非常规方法的有效性已通过与国际SBV IMPROVER诊断签名挑战赛中的现有方法进行直接比较而得到验证。由于其新颖性,在概念上有改进和探索更多应用的空间。rScudo软件包经过专门设计,可以方便地尝试基于等级的签名方法,
更新日期:2020-07-03
down
wechat
bug