Cargando…
Machine learning for pan-cancer classification based on RNA sequencing data
Despite recent improvements in cancer diagnostics, 2%-5% of all malignancies are still cancers of unknown primary (CUP), for which the tissue-of-origin (TOO) cannot be determined at the time of presentation. Since the primary site of cancer leads to the choice of optimal treatment, CUP patients pose...
Autores principales: | Štancl, Paula, Karlić, Rosa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667476/ https://www.ncbi.nlm.nih.gov/pubmed/38028533 http://dx.doi.org/10.3389/fmolb.2023.1285795 |
Ejemplares similares
-
How Machine Learning and Statistical Models Advance Molecular Diagnostics of Rare Disorders Via Analysis of RNA Sequencing Data
por: Schlieben, Lea D., et al.
Publicado: (2021) -
Machine Learning Classification Model for Functional Binding Modes of TEM-1 β-Lactamase
por: Wang, Feng, et al.
Publicado: (2019) -
Predicting higher-order mutational effects in an RNA enzyme by machine learning of high-throughput experimental data
por: Beck, James D., et al.
Publicado: (2022) -
Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data
por: Zhu, Zhixing, et al.
Publicado: (2020) -
Comprehensive Pan-Cancer Analysis of Senescence With Cancer Prognosis and Immunotherapy
por: Zhao, Qinfei, et al.
Publicado: (2022)