Cargando…
Identification of Prognostic Biomarker Candidates Associated With Melanoma Using High-Dimensional Genomic Data
Survival of patients with metastatic melanoma varies widely. Melanoma is a highly proliferative, chemo-resistant disease. With the recent availability of immunotherapies such as checkpoint inhibitors, durable response rates have improved but are often still limited to 2–3 years. Response rates to tr...
Autores principales: | Kutt, Brody, Burdorf, Rachel, Bain, Travaughn, Cameron, Nicardo, Pearah, Alexia, Subasi, Ersoy, Carroll, David J., Moore, Lisa K., Subasi, Munevver Mine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473904/ https://www.ncbi.nlm.nih.gov/pubmed/34589115 http://dx.doi.org/10.3389/fgene.2021.707105 |
Ejemplares similares
-
Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease
por: Moreno, M. Megan, et al.
Publicado: (2021) -
A Classification Model to Predict the Rate of Decline of Kidney Function
por: Subasi, Ersoy, et al.
Publicado: (2017) -
Practical guide for biomedical signals analysis using machine learning techniques: a MATLAB based approach
por: Subasi, Abdulhamit
Publicado: (2019) -
Practical machine learning for data analysis using Python
por: Subasi, Abdulhamit
Publicado: (2020) -
DW-MRI of the breast: a pictorial review
por: Durur-Subasi, Irmak
Publicado: (2019)