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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Improved prediction of gene expression through integrating cell signalling models with machine learning

Fig. 2

The results of models built based in different methods, b: baseline, nn: common neighbour, ib: local path index, ent: entropy-based method , ll: locally linear embedding, le: Laplacian eigenmaps, n2v: Nod2vec, dw: Deepwalk , st: stacking model. The figure shows the number of times a model outperformed other models for each gene, Stacking model surpassed other models by a wide margin

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