日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Application of machine learning algorithms to identify serological predictors of COVID-19 severity and outcomes

应用机器学习算法识别 COVID-19 严重程度和结果的血清学预测因子

Santosh Dhakal #, Anna Yin #, Marta Escarra-Senmarti #, Zoe O Demko, Nora Pisanic, Trevor S Johnston, Maria Isabel Trejo-Zambrano, Kate Kruczynski, John S Lee, Justin P Hardick, Patrick Shea, Janna R Shapiro, Han-Sol Park, Maclaine A Parish, Christopher Caputo, Abhinaya Ganesan, Sarika K Mullapudi, 

Application of machine learning models to identify serological predictors of COVID-19 severity and outcomes

应用机器学习模型识别 COVID-19 严重程度和结果的血清学预测因子

Sabra Klein, Santosh Dhakal, Anna Yin, Marta Escarra-Senmarti, Zoe Demko, Nora Pisanic, Trevor Johnston, Maria Trejo-Zambrano, Kate Kruczynski, John Lee, Justin Hardick, Patrick Shea, Janna Shapiro, Han-Sol Park, Maclaine Parish, Christopher Caputo, Abhinaya Ganesan, Sarika Mullapudi, Stephen Gould,

Sox2 induces glioblastoma cell stemness and tumor propagation by repressing TET2 and deregulating 5hmC and 5mC DNA modifications

Sox2 通过抑制 TET2 和解除 5hmC 和 5mC DNA 修饰的调控来诱导胶质母细胞瘤细胞干性和肿瘤增殖

Hernando Lopez-Bertoni, Amanda Johnson, Yuan Rui, Bachchu Lal, Sophie Sall, Maureen Malloy, Jonathan B Coulter, Maria Lugo-Fagundo, Sweta Shudir, Harmon Khela, Christopher Caputo, Jordan J Green, John Laterra5