Cargando…
A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma
Papillary renal cell carcinoma (pRCC), which accounts for 10–15% of renal cell carcinomas, is the second most frequent renal cell carcinoma. pRCC patient classification is difficult because of disease heterogeneity, histologic subtypes, and variations in both disease progression and patient outcomes...
Autores principales: | Lee, Sugi, Jung, Jaeeun, Park, Ilkyu, Park, Kunhyang, Kim, Dae-Soo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7533347/ https://www.ncbi.nlm.nih.gov/pubmed/33033583 http://dx.doi.org/10.1016/j.csbj.2020.09.029 |
Ejemplares similares
-
Characterization of terminal-ileal and colonic Crohn’s disease in treatment-naïve paediatric patients based on transcriptomic profile using logistic regression
por: Park, Ilkyu, et al.
Publicado: (2021) -
Correction to: Characterization of terminal-ileal and colonic Crohn’s disease in treatment-naïve paediatric patients based on transcriptomic profile using logistic regression
por: Park, Ilkyu, et al.
Publicado: (2021) -
Gene selection tool (GST): A R-based tool for genetic disorders based on the sliding-window proportion test using whole-exome sequencing data
por: Lee, Sugi, et al.
Publicado: (2017) -
Fast approximate hierarchical clustering using similarity heuristics
por: Kull, Meelis, et al.
Publicado: (2008) -
Data integration by fuzzy similarity-based hierarchical clustering
por: Ciaramella, Angelo, et al.
Publicado: (2020)