Cargando…
Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review
This review explores the multifaceted landscape of renal cell carcinoma (RCC) by delving into both mechanistic and machine learning models. While machine learning models leverage patients’ gene expression and clinical data through a variety of techniques to predict patients’ outcomes, mechanistic mo...
Autores principales: | Sofia, Dilruba, Zhou, Qilu, Shahriyari, Leili |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669004/ https://www.ncbi.nlm.nih.gov/pubmed/38002445 http://dx.doi.org/10.3390/bioengineering10111320 |
Ejemplares similares
-
Patient-Specific Mathematical Model of the Clear Cell Renal Cell Carcinoma Microenvironment
por: Sofia, Dilruba, et al.
Publicado: (2022) -
Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model
por: Mohammad Mirzaei, Navid, et al.
Publicado: (2022) -
RGS5 plays a significant role in renal cell carcinoma
por: Su, Sumeyye, et al.
Publicado: (2020) -
Immune classification of clear cell renal cell carcinoma
por: Su, Sumeyye, et al.
Publicado: (2021) -
Data-Driven Mathematical Model of Osteosarcoma
por: Le, Trang, et al.
Publicado: (2021)