<< bioNMF: a tool for Non-negative Matrix Factorization in biology >>
Analysis parameters:
Analysis method: Standard NMF.
Analysis algorithm: Standard.
Factorization range: K = [2..5].
Number of runs per K: 5.
Number of iterations per run: 2000.
Stopping threshold: 40 iterations.
Save output matrices: Save all matrices.
Save heatmaps and profiles for input/output matrices: Yes.
Save analysis's output images: Yes.
Loading and preprocessing data matrix...
Input file selected as ASCII-text. Loading...
Data matrix selected as having numeric column headers: No.
Data matrix selected as having numeric row labels: No.
Row labels detected.
Number of data columns detected (excluding row labels): 20.
Name (ie. description string) detected.
Column headers detected.
Loaded a 100 x 20 data matrix (2000 items).
Done in 0.0012 seconds.
Transpose data matrix: No.
Normalization method: Do not normalize.
Transformation method to make data positive: Exponential scaling.
Done in 4.3e-05 seconds.
Done in 0.001665 seconds.
Standard NMF: Standard, K=[2..5], 5 time(s) per K
Starting NMF...
Done in 0.552115 seconds.
Orderconsensus step...
Done in 0.000957 seconds.
Best K value: 4
Done in 0.583908 seconds.
Postprocessing...
Drawing and saving heatmaps and profiles for input and output data matrices... done in 1.35015 seconds.
Total postprocessing time: 1.39037 seconds.