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Fig. 3 | Journal of Cheminformatics

Fig. 3

From: CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles

Fig. 3

a CardioTox framework: End to end flow diagram of all the stages of proposed framework. b Architecture specifications of fully connected neural network for 995 2D and 3D descriptors as base features. c Architecture specifications of graph convolutional neural network for node vector of size 50x65 and adjacency vector of size 50x50 as base features. d Architecture specifications of fully connected neural network for 1024 EFCP and 881 pubchem fingerprints as base features (e) Architecture specifications of 1D convolution neural network for SMILES and fingerprints embedding vectors as base features. f Architecture specifications of meta ensemble fully connected neural network for meta features

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