Binchen Mao, Jun Li, Xin Tang, Selena Li, Sheng Guo, Henry Q. Li
As preclinical data is used to decide which novel agents advance to clinical trials, it’s important that studies and subsequent results maintain scientific integrity. This means that preclinical studies need to be carefully and properly planned, executed, and analyzed.
To facilitate in vivo pharmacology data analysis and interpretation, we’ve developed HuPharm, a web platform that automates statistical pipelines and report generation. The platform’s intuitive and interactive interface greatly helps preclinical researchers with data validation, exploratory data analysis, and statistical analysis.
This poster details the HuPharm preclinical data analysis workflow, and exemplifies resulting output graphs, tables, and analysis results.
Your privacy is important to us.
We'll never share your information.