The application of BIG DATA technologies in precision cancer medicine
Project Description
Cancer is a leading cause of death worldwide. The recent progress in high-throughput experimentation and big data technologies have provided a novel opportunity to address this project in silicon. This project aims to mine genomic and clinic data from a large number of cancer patients. More information can be found at http://wang-lab.ust.hk/index.html.
Supervisor
WANG Jiguang
Quota
2
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
This project requires strong programming skills and solid quantitative background. Students who are good at statistics, linear algebra or computer science are preferred.
The applicants will handle a large amount of data from hospital and develop machine-learning or deep-learning methods to predict optimal treatment for individual patients.
The applicants will handle a large amount of data from hospital and develop machine-learning or deep-learning methods to predict optimal treatment for individual patients.
Applicant's Learning Objectives
1. understand the basic concept of precision cancer medicine;
2. be able to develop algorithms or pipelines to study large-scale sequencing data.
2. be able to develop algorithms or pipelines to study large-scale sequencing data.
Complexity of the project
Challenging