Development of statistical methodologies and application to clinical cancer studies

整合来自最新的组学技术的不同层次的信息可以帮助改进复杂疾病的治疗和预防。特别是，不同类型的分子标记的鉴定可以用于癌症和免疫疾病的更好的诊断和预后。该项目将开发创新的统计解决方案，以处理和理解实验室经常产生的大量生物数据。

Integrating different layers of information coming from the recent ‘-omics’ technologies can help improving the treatment and the prevention of complex diseases. In particular, the identification of molecular markers of different types can be used for better diagnostics and prognosis in cancer and immune diseases. This project will develop innovative statistical solutions to handle and make sense of the vast amount of biological data that are routinely generated in the laboratories.