A new unbiased and highly automated approach to find new prognostic markers in preclinical research

Data acquisition in (pre)clinical studies is often based on a hypothesis. Numerical algorithms, however, may help to find biomarkers from existing data without formulating any hypothesis. By simply assessing whether a statistical relationship exists between two parameters from a (unlimited) database...

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Detalles Bibliográficos
Autores principales: Neidnicht, Martin, Mittermüller, Daniela, Effenberger-Neidnicht, Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Perspective/Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859257/
https://www.ncbi.nlm.nih.gov/pubmed/31735952
http://dx.doi.org/10.1093/database/baz107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859257/
https://www.ncbi.nlm.nih.gov/pubmed/31735952
http://dx.doi.org/10.1093/database/baz107

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