Stabl: sparse and reliable biomarker discovery in predictive modeling of high-dimensional omic data

High-content omic technologies coupled with sparsity-promoting regularization methods (SRM) have transformed the biomarker discovery process. However, the translation of computational results into a clinical use-case scenario remains challenging. A rate-limiting step is the rigorous selection of rel...

Descripción completa

Detalles Bibliográficos
Autores principales: Hédou, Julien, Marić, Ivana, Bellan, Grégoire, Einhaus, Jakob, Gaudillière, Dyani K., Ladant, Francois-Xavier, Verdonk, Franck, Stelzer, Ina A., Feyaerts, Dorien, Tsai, Amy S., Ganio, Edward A., Sabayev, Maximilian, Gillard, Joshua, Bonham, Thomas A., Sato, Masaki, Diop, Maïgane, Angst, Martin S., Stevenson, David, Aghaeepour, Nima, Montanari, Andrea, Gaudillière, Brice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002850/
https://www.ncbi.nlm.nih.gov/pubmed/36909508
http://dx.doi.org/10.21203/rs.3.rs-2609859/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002850/
https://www.ncbi.nlm.nih.gov/pubmed/36909508
http://dx.doi.org/10.21203/rs.3.rs-2609859/v1

Ejemplares similares