週次 |
日期 |
單元主題 |
第1週 |
2/18 |
Introduction |
第2週 |
2/25 |
Data Preprocessing |
第3週 |
3/03 |
Data Preprocessing (II) |
第4週 |
3/10 |
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring (Science, 1999 ) (王建智) [data clustering, SOM, feature selection, univariate analysis] |
第5週 |
3/17 |
Data clustering |
第6週 |
3/24 |
Cluster analysis and display of genome-wide expression patterns (PNAS, 1998) (郭建鴻) |
第7週 |
3/31 |
Data classification |
第8週 |
4/07 |
Knowledge-based analysis of microarray gene expression data by using support vector machines (PNAS, 2000) (羅聖傑, 李柔靜) |
第9週 |
4/14 |
Mining association rules |
第10週 |
4/21 |
Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment (Science, 1993) (黃俊欽) |
第11週 |
4/28 |
SVM (short comments) + Pattern mining |
第12週 |
5/05 |
Midterm (1pm開始) |
第13週 |
5/12 |
Discovering motif pairs at interaction sites from protein sequences on a proteome-wide scale (Bioinformatics, 2006) (游棨元)
EM clustering |
第14週 |
5/19 |
Discovering Gapped Binding Sites of Yeast Transcription Factors (PNAS, 2008) (楊俊書) Statistical methods for identifying yeast cell cycle transcription factors (PNAS, 2005) (翁小涵) |
第15週 |
5/26 |
From sequence to structure and back again: approaches for predicting protein-DNA binding (Proteome Science, 2004) (楊俊禮) (starts from 1:30pm)
[Proposal for final project] |
第16週 |
6/02 |
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification (BMC Bioinformatics, 2005) (陳玫如) Examples of EM clustering. Density-based clustering algorithms |
第17週 |
6/09 |
Predicting Gene Expression from Sequence (Cell, 2004) (李建樂) Further comments on "Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment" |
第18週 |
6/16 |
Project demo |