Cargando…
A systematic meta‐analysis of immune signatures in patients with COVID‐19
Currently severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) transmission has been on the rise worldwide. Predicting outcome in COVID‐19 remains challenging, and the search for more robust predictors continues. We made a systematic meta‐analysis on the current literature from 1 January 202...
Autores principales: | Liu, Kun, Yang, Tong, Peng, Xue‐Fang, Lv, Shou‐Ming, Ye, Xiao‐lei, Zhao, Tian‐Shuo, Li, Jia‐Chen, Shao, Zhong‐Jun, Lu, Qing‐Bin, Li, Jing‐Yun, Liu, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744845/ https://www.ncbi.nlm.nih.gov/pubmed/34260780 http://dx.doi.org/10.1002/rmv.2195 |
Ejemplares similares
-
XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer
por: Li, Qingqing, et al.
Publicado: (2022) -
Identification of an immune prognostic 11-gene signature for lung adenocarcinoma
por: Yang, Tao, et al.
Publicado: (2021) -
A pyroptosis-related gene signature for prognosis and immune microenvironment of pancreatic cancer
por: Tao, Sifan, et al.
Publicado: (2022) -
Developing four cuproptosis-related lncRNAs signature to predict prognosis and immune activity in ovarian cancer
por: Liu, Li, et al.
Publicado: (2023) -
Immune Cell Infiltration as Signatures for the Diagnosis and Prognosis of Malignant Gynecological Tumors
por: Liu, Qi-Fang, et al.
Publicado: (2021)