<< 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.