<< bioNMF: a tool for Non-negative Matrix Factorization in biology >> Analysis parameters: Analysis method: Sample Classification. Analysis algorithm: Divergence. Factorization range: K = [2..5]. Number of runs per K: 40. Number of iterations per run: 2000. Stopping threshold: 40 iterations. Save output matrices: Save only the best 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): 38. Name (ie. description string) detected. Column headers detected. Loaded a 5000 x 38 data matrix (190000 items). Done in 0.070952 seconds. Transpose data matrix: No. Normalization method: Do not normalize. Transformation method to make data positive: Do not do anything. Done in 0.078485 seconds. Sample Classification: Divergence, K=[2..5], 40 time(s) per K Starting NMF... Done in 209.450803 seconds. Orderconsensus step... Done in 0.00327 seconds. Best K value: 2 Done in 209.500768 seconds. Postprocessing... Drawing and saving heatmaps and profiles for input and output data matrices... done in 1.57299 seconds. Building images... done in 0.733429 seconds. Total postprocessing time: 2.36745 seconds.