统计分析
医学
计算机科学
功能(生物学)
肿瘤科
医学物理学
统计
数学
生物
进化生物学
作者
David Enot,Erika Vacchelli,Nicolas Jacquelot,Laurence Zitvogel,Guido Kroemer
出处
期刊:OncoImmunology
[Informa]
日期:2018-08-01
卷期号:7 (9): e1462431-e1462431
被引量:122
标识
DOI:10.1080/2162402x.2018.1462431
摘要
The analysis of tumor growth curves is standard practice in experimental oncology including tumor immunology. In experimental oncology, cancer cells are inoculated into rodents (mostly mice) and their growth is monitored by measuring tumor diameter, surface or volume over time as a function of distinct treatments. Then, different groups of tumors/treatments are compared among each other for their evolution and possible responses to treatment. The R package TumGrowth has been created as a software tool allowing to carry out a series of statistical comparisons across or between groups of tumor growth curves obtained in a standard laboratory, for experimenters with limited knowledge in statistics. TumGrowth is freely available online at https://kroemerlab.shinyapps.io/TumGrowth/ and can be downloaded into any computer. It offers an exhaustive panoply of tools to visualize and analyze complex data sets including longitudinal, cross-sectional and time-to-endpoint measurements.
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