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Fig. 2 | BioData Mining

Fig. 2

From: Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data

Fig. 2

Clustering performance in the 4-left-out experiment. Each network is trained by leaving 4 cell types out (LPGO technique). The cell types which are left-out are randomly selected, and the procedure is repeated 20 times. After the neural network training is completed, the encoding (learned representation) is computed for the test (left-out cells) and used as input to the K-Means algorithm. The output is then evaluated using a comprehensive set of metrics (see “Materials and methods” section)

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BioData Mining

ISSN: 1756-0381