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Setup Data Analysis Parameters
Step 1. Choose a Gene List for Analysis:
Gene List Management
1. Guest_D10, test, from , mas, imported, 19 genes, 2006-07-25 11:04:52
2. guest_D9, untitled, from BB4, mas, Absolute Value Filter, 3595 genes, 2006-07-20 17:58:15
3. Guest_D8, test1, from BB1, rma, imported, 34 genes, 2006-07-20 16:54:54
4. guest_D7, untitled, from BB4, mas, Fold Change Filter, 252 genes, 2006-07-20 16:21:31
5. guest_D6, untitled, from BB4, mas, Fold Change Filter, 252 genes, 2006-07-20 16:20:47
6. guest_D5, untitled, from BB4, mas, Fold Change Filter, 252 genes, 2006-07-20 16:20:10
7. Guest_D4, Wise test2, from BB4, , imported, 26 genes, 2006-07-19 14:09:01
8. Guest_D3, guest_D3, from , , imported, 218 genes, 2006-07-18 11:41:22
9. guest_D2, untitled, from BB1, mas, Absolute Value Filter, 695 genes, 2006-07-18 11:39:54
10. guest_D1, untitled, from BB1, mas, Coexpressed Probe Sets for Contig5108_s_at , 200 genes, 2006-07-18 11:39:27
Step 2. Select an Analysis Method from the List:
1. 1. Hierarchical Clustering
2. 2. K-medoids (PAM) and K-means Partitioning
3. 3. Self-Organization Map (SOM)
4. 4. Principal Components Analysis (PCA)
5. 5. Sammon's Non-Linear Mapping
Step 3. Setup Analysis and Run:
1. Hierarchical Clustering Settings:
Help
First, decide if do clustering.
Hierarchical Clustering:
Cluster filtered genes
Cluster samples with filtered genes
Log2 transform data if not yet, for example the MAS5.0 estimations.
Mean-center log2 transformed data so that each row has mean 0.
Select a clustering method:
single linkage
average linkage
complete linkage
ward
mcquitty
median
centroid
Select a distance method:
Correlation - Centered Pearson
Non-Centered Pearson
Euclidean Distance
maximum
manhattan
canberra
The number of clusters to use (may based on preliminary output) is
Heapmap color spectrum:
Green (low) and Red (high)
Blue (low) and Yellow (high)
Define the Treatments to be Included in Analysis
Factor1:
1. All Levels of factor genotype
2. Fgh Butte 86
3. Water (mock)
Factor2:
1. All Levels of factor time
2. 24 hai
3. 48 hai
4. 72 hai
5. 96 hai
6. 144 hai
Experiment Design Details:
Hybridization
T
REP
Factor:
genotype
Factor:
time
File_Name
Sample_ID & Name
T= Treatment; REP = Replicate
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