An Integrative Data Mining and Omics-Based Translational Model for the Identification and Validation of Oncogenic Biomarkers of Pancreatic Cancer

Substantial alterations at the multi-omics level of pancreatic cancer (PC) impede the possibility to diagnose and treat patients in early stages. Herein, we conducted an integrative omics-based translational analysis, utilizing next-generation sequencing, transcriptome meta-analysis, and immunohisto...

Descripción completa

Detalles Bibliográficos
Autores principales: Long, Nguyen Phuoc, Jung, Kyung Hee, Anh, Nguyen Hoang, Yan, Hong Hua, Nghi, Tran Diem, Park, Seongoh, Yoon, Sang Jun, Min, Jung Eun, Kim, Hyung Min, Lim, Joo Han, Kim, Joon Mee, Lim, Johan, Lee, Sanghyuk, Hong, Soon-Sun, Kwon, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407035/
https://www.ncbi.nlm.nih.gov/pubmed/30700038
http://dx.doi.org/10.3390/cancers11020155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407035/
https://www.ncbi.nlm.nih.gov/pubmed/30700038
http://dx.doi.org/10.3390/cancers11020155

Ejemplares similares