Title:
Molecular Classification - Prof. Chris Man (Part 1)
Speaker:
Chris Man
Subject:
genomic and proteomic technologies
Area:
Biotechnology
Type of school:
university
School name:
Baylor College of Medicine.
Country:
United States
Course language:
English
Course media:
Video
Course duration:
Contributor:
pbp
Comments:
Recent advances in genomic and proteomic technologies have revolutionized our way of classifying diseases. These high-throughput technologies allow the development of powerful and multivariate classifiers to distinguish different diseases or tumors based on their molecular profiles. Molecular classification provides a new way to distinguish histologically similar but molecularly different types of tumors, and hence improves tumor diagnosis and prognosis. In this course, we introduce major concepts involved in molecular classification, including unsupervised and supervised methods, experimental design issue, feature selection procedures, classification algorithms, and cross validations. We will also discuss some recent examples to illustrate the use of molecular classifiers in cancer research. Part of the Computer-Aided Discovery Methods course taught at Baylor College of Medicine.