相关实验视频

Updated: Jun 11, 2025

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
07:32

Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis

Published on: April 12, 2024

1.2K

LOCC:一种新的可视化和连续变量切断值的评分,以肝细胞癌预后为例

George Luo1, Toby Chen2, John J Letterio3,4,5

  • 1Department of Pathology, Case Western Reserve University School of Medicine, 2103 Cornell Rd., Wolstein Research Bldg. Rm 3501, Cleveland, OH, 44106, USA. gxl263@case.edu.

BMC bioinformatics
|September 28, 2024
PubMed
概括

罗的优化分类曲线 (LOCC) 有效地对癌症预后的基因表达特征进行排名,优于ROC曲线等传统方法. 这种工具有助于识别生物标志物和推进精准医学.

关键词:
截止时间 截止时间基因表达 基因表达 基因表达LOCCCC LOCC 这是一个很大的问题.预后 预后 预测 预测获得得分的得分.

更多相关视频

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment11:00

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

17.1K
Establishing a Competing Risk Regression Nomogram Model for Survival Data04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.1K

相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
94