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.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-04-16
DOI
https://doi.org/10.1016/j.softx.2025.102158
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

QuaDS: A qualitative/quantitative descriptive statistics Python module

Pierre Santagostini, Claudine Landès, Julie Bourbeillon, Alix Pernet et al.
SoftwareX
Evolutionary Algorithms and Applications
article

QuaDS: A qualitative/quantitative descriptive statistics Python module

Pierre Santagostini, Claudine Landès, Julie Bourbeillon, Alix Pernet, Angélina El Ghaziri, Andréa Bouanich
article en

Abstract

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.

SoftwareXVol. 30
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Université d'Angers (FR)
Openalex Percentile: Top 97%
Evolutionary Algorithms and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.