Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis.
Due to the large number of putative microRNA gene targets predicted by sequence-alignment databases and the relative low accuracy of such predictions which are conducted independently of biological context by design, systematic experimental identification and validation of every functional microRNA...
Guardado en:
Autores principales: | Younghee Lee, Xinan Yang, Yong Huang, Hanli Fan, Qingbei Zhang, Youngfei Wu, Jianrong Li, Rifat Hasina, Chao Cheng, Mark W Lingen, Mark B Gerstein, Ralph R Weichselbaum, H Rosie Xing, Yves A Lussier |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2010
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1f3f6d79c24448c498154cf3417eabdd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Single sample expression-anchored mechanisms predict survival in head and neck cancer.
por: Xinan Yang, et al.
Publicado: (2012) -
Predictors of occult lymph node metastasis in cutaneous head and neck melanoma
por: Jonathan S. Ni, et al.
Publicado: (2019) -
DNA repair biomarkers XPF and phospho-MAPKAP kinase 2 correlate with clinical outcome in advanced head and neck cancer.
por: Tanguy Y Seiwert, et al.
Publicado: (2014) -
Yes-associated protein expression in head and neck squamous cell carcinoma nodal metastasis.
por: Lin Ge, et al.
Publicado: (2011) -
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts
por: Elia Lombardo, et al.
Publicado: (2021)