STrenD: Subspace Trend Discovery

Software Interface

Procedure

Output files

For 17 samples of 3196 dimensions, clustering sigma = 0.8, k = 4: 1. 3196_17_0.8_clustering.txt: agglomerative clustering result, containing index and feature names; 2. 3196_17_0.8_4_NS.txt: pair-wise neighborhood similarity matrix of feature clusters; 3. Shanbhag.txt: 4. 3196_17_0.8_4_AutoSelFeatures.txt: selected feature index and names; 5. data_selected_vis.txt: table of normalized data with selected features for visualization; 6. vis_coordinates.txt: output visualization coordinates after dimension reduction by t-SNE.

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