Cargando…
A computational method for large-scale identification of esophageal cancer-related genes
The incidence of esophageal cancer has obvious genetic susceptibility. Identifying esophageal cancer-related genes plays a huge role in the prevention and treatment of esophageal cancer. Through various sequencing methods, researchers have found only a small number of genes associated with esophagea...
Autores principales: | He, Xin, Li, Wei-Song, Qiu, Zhen-Gang, Zhang, Lei, Long, He-Ming, Zhang, Gui-Sheng, Huang, Yang-Wen, Zhan, Yun-mei, Meng, Fan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425068/ https://www.ncbi.nlm.nih.gov/pubmed/36052230 http://dx.doi.org/10.3389/fonc.2022.982641 |
Ejemplares similares
-
Patterns of Distant Metastasis Between Histological Types in Esophageal Cancer
por: Wu, San-Gang, et al.
Publicado: (2018) -
Transarterial infusion chemotherapy for advanced esophageal cancer with airway stenosis
por: Zhou, Gang, et al.
Publicado: (2023) -
Clinical Application of Oral Meglumine Diatrizoate Esophagogram in Screening for Esophageal Fistula During Radiotherapy or Chemoradiotherapy for Esophageal Cancer
por: Wu, Rong, et al.
Publicado: (2020) -
AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing
por: Bhattacharya, Tanmoy, et al.
Publicado: (2019) -
A Nomogram for Predicting the Risk of Radiotherapy-Related Esophageal Fistula in Esophageal Cancer Patients
por: Gui, Zhongxuan, et al.
Publicado: (2022)