The Omics Molecule Extractor: A Web Application for the Selection of Potential Biomarker Panels

The Omics Molecule Extractor: A Web Application for the Selection of Potential Biomarker Panels

Selecting molecular panels that are applicable to classify the health state of patients is a common task in omics data analysis. Existing software for molecule selection lacks features to select molecule panels from large data sets, requires programming experience, or lacks user-friendly interfaces....

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Bibliographic Details
Main Author: Emanuel Lange (22758204) (author)
Other Authors: Kay Schallert (7255601) (author), Johannes Schwerdt (22758207) (author), Susmita Ghosh (411988) (author), Andreas Hentschel (9401159) (author), Yvonne Reinders (746364) (author), Robert Heyer (1643680) (author)
Published: 2025
Subjects:
Biochemistry
Genetics
Molecular Biology
Biotechnology
Evolutionary Biology
Cancer
Inorganic Chemistry
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
requires programming experience
large data sets
https :// mdoa
exploring input data
omics molecule extractor
omics data analysis
demonstrating high reproducibility
select molecule panels
feature selection methods
algorithm discovers group
molecule panels
high precision
analysis results
web application
separating molecules
selecting molecules
sample classification
reported molecules
machine learning
health state
friendly workflow
friendly interfaces
five real
common task
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