bioNMF Results


bioNMF 1.0 - Main Menu
Job's parameters:
Job's ID:SC_example
Analysis type:Sample Classification
Data matrix has numeric column headers:No
Data matrix has numeric row labels:No
Transpose data matrix:No
Normalization method:Do not normalize
Method to make data positive:Do not do anything
Minimum number of factors:2
Maximum number of factors:5
Number of runs per factorization:40
NMF results:
Best rank of factorization:2
Best Run (0-based indexing):30
Explained Variance:67.9591

Input matrix V heatmap Input matrix V profile
 
Matrix W Matrix H
Matrix W (data with labels) Matrix H (data with labels)
Matrix W heatmap Matrix H heatmap
Matrix W profile Matrix H profile
Sample Classification results:
Cophenetic-coefficients
 
Ordered Consensus matrices and
CCC values per rank of factorization:
 
2 factors:

Cluster IDs
 
3 factors:

Cluster IDs
 
4 factors:

Cluster IDs
 
5 factors:

Cluster IDs
Job's output-file (detailed information and timings)
bioNMF 1.0 - Main Menu