StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization

Background In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically increased. StatiCA...

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Vydané v:BMC bioinformatics Ročník 25; číslo 1; s. 210 - 11
Hlavní autori: Pace-Loscos, Tanguy, Gal, Jocelyn, Contu, Sara, Schiappa, Renaud, Chamorey, Emmanuel, Culié, Dorian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London BioMed Central 12.06.2024
BioMed Central Ltd
Springer Nature B.V
BMC
Predmet:
Algorithms
Bioinformatics
Biomedical and Life Sciences
Biomedical data
Biomedical Research
Collaboration
Computational Biology - methods
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Data analysis
Data Interpretation, Statistical
Data management
Data Management - methods
Demand analysis
Graphical user interface
Life Sciences
Mathematical statistics
Medical prognosis
Medical research
Medical statistics
Medicine, Experimental
Methods
Microarrays
Missing data
Multivariate analysis
Nomograms
Patients
Physicians
Software
Statistical analysis
Statistical software
Statistics
User-Computer Interface
Variables
Visualization (Computers)
Web applications
France
Statistical software
Data analysis
Data management
Medical statistics
ISSN:1471-2105, 1471-2105
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Popis
Shrnutí:Background In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically increased. StatiCAL emerges as a user-friendly solution, enabling researchers to conduct basic analyses without necessitating extensive programming expertise. Results StatiCAL includes divers functionalities: data management, visualization on variables and statistical analysis. Data management functionalities allow the user to freely add or remove variables, to select sub-population and to visualise selected data to better perform the analysis. With this tool, users can freely perform statistical analysis such as descriptive, graphical, univariate, and multivariate analysis. All of this can be performed without the need to learn R coding as the software is a graphical user interface where all the action can be performed by clicking a button. Conclusions StatiCAL represents a valuable contribution to the field of biomedical research. By being open-access and by providing an intuitive interface with robust features, StatiCAL allow researchers to gain autonomy in conducting their projects.
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ISSN:1471-2105
1471-2105
DOI:10.1186/s12859-024-05829-z