Statistical analysis of RNA electropherograms to understand the degree and nature of RNA disruption induced by anti-cancer drugs

Rna Diagnostics, Inc. is developing a diagnostic test, named RDA (RNA Disruption Assay) which measures an individual patient’s tumor response to chemotherapy and accurately predicts whether the drug regimen will lead to elimination of the disease. In order to commercialize the intellectual property related to RDA, Rna Diagnostics, Inc. requires mathematical and statistical expertise to develop and validate an algorithm derived from RNA electropherograms. The current method of determining RDA is based on RIN value and does not distinguish between autolytic degradation and drug effects. This project is critical to the success of producing an innovative RDA technology that is expected to exclude extraneous effects such as autolytic degradation and sample concentration and provide an in-depth analysis of the RNA electropherograms.

Faculty Supervisor:

Mu Zhu

Student:

Partner:

Discipline:

Mathematics

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate