Cargando…
Quantitative sensory testing response patterns to capsaicin- and ultraviolet-B–induced local skin hypersensitization in healthy subjects: a machine-learned analysis
The comprehensive assessment of pain-related human phenotypes requires combinations of nociceptive measures that produce complex high-dimensional data, posing challenges to bioinformatic analysis. In this study, we assessed established experimental models of heat hyperalgesia of the skin, consisting...
Autores principales: | Lötsch, Jörn, Geisslinger, Gerd, Heinemann, Sarah, Lerch, Florian, Oertel, Bruno G., Ultsch, Alfred |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737455/ https://www.ncbi.nlm.nih.gov/pubmed/28700537 http://dx.doi.org/10.1097/j.pain.0000000000001008 |
Ejemplares similares
-
Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects
por: Lötsch, Jörn, et al.
Publicado: (2017) -
Machine-learned analysis of the association of next-generation sequencing–based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin
por: Kringel, Dario, et al.
Publicado: (2018) -
Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy
por: Lötsch, Jörn, et al.
Publicado: (2018) -
Distribution Optimization: An evolutionary algorithm to separate Gaussian mixtures
por: Lerch, Florian, et al.
Publicado: (2020) -
Disagreement between two common biomarkers of global DNA methylation
por: Knothe, Claudia, et al.
Publicado: (2016)