SimNetX: Interactive Support for Biomedical Data Analysis Using Patient Similarity Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F25%3A10159371" target="_blank" >RIV/00098892:_____/25:10159371 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/25:10260260
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-82439-5_1" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-82439-5_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-82439-5_1" target="_blank" >10.1007/978-3-031-82439-5_1</a>
Alternative languages
Result language
angličtina
Original language name
SimNetX: Interactive Support for Biomedical Data Analysis Using Patient Similarity Networks
Original language description
Patient similarity networks (PSNs) are a widely used tool in biomedical data analysis. The most powerful feature of PSNs (and all networks in general) is the ability to visualize relatively complex data in a way that people can understand without expertise in statistics and machine learning. This aspect of data analysis is particularly important in biomedical data analysis, where data analysts, clinicians, and people from laboratories work in collaborative teams. However, working with PSNs requires steps that are usually solved in different systems or using programming libraries, e.g., in R or Python. This paper presents a tool whose design results from several years of experience with PSNs in biomedical data analysis. The tool focuses on the essential tasks of transforming vector data into PSNs and exploring them in detail, as well as on a high level of interactivity, e.g. allowing the formulation of preliminary hypotheses. We demonstrate the practical use of the tool on a well-known biological dataset.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Complex Networks & Their Applications XIII
ISBN
978-3-031-82438-8
ISSN
1860-949X
e-ISSN
1860-9503
Number of pages
12
Pages from-to
3-14
Publisher name
Springer Cham
Place of publication
Cham
Event location
Istanbul
Event date
Dec 10, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001489045000001