Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: DeepMF: deciphering the latent patterns in omics profiles with a deep learning method

Fig. 2

DeepMF performance on 1000×600 synthetic matrices. DeepMF denoising, imputation, and factorization performance on 1000×600 synthetic matrices with different pattern. Inside each pattern, from left to right: raw matrix, 10% random dropout, 50% random dropout, 70% random dropout; from top to bottom: before DeepMF, and DeepMF. The horizontal line plot show the sample latent factors, the vertical line plot refer to feature latent factors. a Matrix with pattern A b Matrix with pattern B c The transpose matrix of pattern B

Back to article page