Cargando…
Decision Theory versus Conventional Statistics for Personalized Therapy of Breast Cancer
Estrogen and progesterone receptors being present or not represents one of the most important biomarkers for therapy selection in breast cancer patients. Conventional measurement by immunohistochemistry (IHC) involves errors, and numerous attempts have been made to increase precision by additional i...
Autores principales: | Kenn, Michael, Karch, Rudolf, Cacsire Castillo-Tong, Dan, Singer, Christian F., Koelbl, Heinz, Schreiner, Wolfgang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028435/ https://www.ncbi.nlm.nih.gov/pubmed/35455687 http://dx.doi.org/10.3390/jpm12040570 |
Ejemplares similares
-
Decision theory for precision therapy of breast cancer
por: Kenn, Michael, et al.
Publicado: (2021) -
Gene expression information improves reliability of receptor status in breast cancer patients
por: Kenn, Michael, et al.
Publicado: (2017) -
Co-expressed genes enhance precision of receptor status identification in breast cancer patients
por: Kenn, Michael, et al.
Publicado: (2018) -
Microarray Normalization Revisited for Reproducible Breast Cancer Biomarkers
por: Kenn, Michael, et al.
Publicado: (2020) -
Molecular dynamics identifies semi-rigid domains in the PD-1 checkpoint receptor bound to its natural ligand PD-L1
por: Kenn, Michael, et al.
Publicado: (2022)