QuaDS：一个定性/定量描述性统计Python模块

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-04-16 DOI:10.1016/j.softx.2025.102158

A. Bouanich , A. El Ghaziri , P. Santagostini , A. Pernet , C. Landès , J. Bourbeillon

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引用次数: 0

摘要

在这项研究中，我们介绍了一个新的Python生物信息学工具。QuaDS（定量/定性描述统计）是一个专门用于描述由定性和定量变量组成的异构数据集中的因素（感兴趣的定性变量）的管道。该管道使用适当的统计检验分别分析与该因素相关的变量。QuaDS管道提供了描述因子的交互式可视化。用户可以定义几个参数，以确保根据他们的数据获得最个性化的结果。

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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QuaDS: A qualitative/quantitative descriptive statistics Python module

In this research, we introduce a new Python bioinformatics tool. QuaDS (Quantitative/Qualitative Description Statistics) is a pipeline tailored to describe a factor (a qualitative variable of interest) in heterogeneous datasets consisting of qualitative and quantitative variables. This pipeline separately analyze s the variables related to the factor using appropriate statistical tests. The QuaDS pipeline offers an interactive visualization that describes the factor. Several parameters can be defined by the user to ensure the most personalized results based on their data.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.