Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy

Based on increasing evidence suggesting that MS pathology involves alterations in bioactive lipid metabolism, the present analysis was aimed at generating a complex serum lipid-biomarker. Using unsupervised machine-learning, implemented as emergent self-organizing maps of neuronal networks, swarm in...

Descripción completa

Detalles Bibliográficos
Autores principales: Lötsch, Jörn, Schiffmann, Susanne, Schmitz, Katja, Brunkhorst, Robert, Lerch, Florian, Ferreiros, Nerea, Wicker, Sabine, Tegeder, Irmgard, Geisslinger, Gerd, Ultsch, Alfred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173715/
https://www.ncbi.nlm.nih.gov/pubmed/30291263
http://dx.doi.org/10.1038/s41598-018-33077-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173715/
https://www.ncbi.nlm.nih.gov/pubmed/30291263
http://dx.doi.org/10.1038/s41598-018-33077-8

Ejemplares similares