CS4220 Knowledge Discovery Methods in Bioinformatics
Instructor: Limsoon Wong & Niranjan Nagarajan / 2014/2015 Semester 2 / IVLE

• Lecture and tutorial are held every Wednesday @ 9am-12nn in SR @ LT19.

• Present-day biomedical researchers are confronted by vast amounts of data from genome sequencing, microscopy, high-throughput analytical techniques for DNA, RNA, and proteins, and a host of other new experimental technologies. Coupled with the advances in computing power, this flow of information should enable scientists to model and understand biological systems in novel ways.

  The goals of CS4220 (Knowledge Discovery Methods in Bioinformatics) are: (1) expose students to knowledge discovery techniques, (2) enhance students' flexible and logical problem solving skills, (3) develop students' understanding of bioinformatics and issues in analysis of real-life high-throughput biological data. To achieve these goals, we do a series of in-depth studies and hands-on projects on topics such as gene expression profile analysis, epistatic interaction detection, protein family recognition, etc.

  At the end of the course, students will be able to identify the relevant techniques for different biological data to uncover new information, as well as be confident in formulating and validating hypothesis underlying observations from biological data.

  Course briefing slides

  Course Plan

  • Unit 1: Essence of Biostatistics
    Slides

    
    
    
    
    
    

  • Unit 2: Essence of Data Mining
    Slides

    
    
    
    
    
    

  • Unit 3: Gene Expression Profile Analysis
    Slides

    
    
    
    
    
    

  • Unit 4: Proteomic Profile Analysis
    Slides

    
    
    
    
    

  • Unit 5: Biological Network
    Slides

    
    
    
    
    

  • Unit 6: Protein Complex Prediction
    Slides

    
    
    
    
    

  • Unit 7: Pathway Perturbations in a Disease Context
    Slides

    
    
    
    
    

  ---

  Contact: Limsoon Wong / Last updated 30 December 2014