Normalization (1): Total Intensity Normalization
Total intensity normalization: 讓中數和平均數接近
20000x1.25=25000
25000
才能互相比較
Normalization (2): Standard Score (調整分數的方式)
Standard scores are also called z-values, z-scores, normal scores, and standardized variables
數據調整,但維持常態分布
T=50+10xZ
EX:期中報告考試占30%
0.3T=50x0.3+0.3x10xZ
Clustering (1): Hierarchical Clustering
相類似的基因變成一個Group
Clustering (2): k-means clustering
平均值靠近的在一個group
Clustering (3): Cluster Affinity Search Technique
看時序變化




















































