Virtual StatsPD@Waite meeting

Every month, the professional development meetings of statisticians and data scientists at Waite, known as StatsPD@Waite, bring together specialists in various aspects of data sciences in agriculture from Waite, Roseworthy and Adelaide.

Please join us for the next StatsPD@Waite meeting where Thuc Le from the Data Analytics Group UniSA will present on causal inference and application in bioinformatics and cancer research. 

Please note that the StatsPD@Waite meetings are recorded. If you have a question to the speaker but had rather not be recorded, please send me your question via chat during the meeting and I will ask it on your behalf. 

Email Beata Sznajder  for details of the Zoom meeting.

Causal Inference and Applications in Bioinformatics and Cancer Research

Thuc Le

In many real-world applications, the research questions of interest are about causality rather than association, whether the goal is for better explanation, prediction or decision making. Causal inference aims to answer the causality related questions by inferring the cause-effect relationships between variables. Traditionally, causal relationships are identified by making use of interventions or randomised controlled experiments. However, conducting such experiments is often expensive or even impossible due to cost or ethical concerns. Therefore, there has been an increasing interest in causal inference based on observational data, and in the past few decades, significant contributions have been made to this field by computer scientists. In this talk, I will briefly introduce causality inference approaches and then talk about a few applications in Bioinformatics and cancer research, including inferring miRNA regulatory relationships, predicting cancer treatment responses, and identifying cancer drivers.