Awesome Deep Learning Methods in Spatial Transcriptomics
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Updated
Apr 10, 2024
Awesome Deep Learning Methods in Spatial Transcriptomics
DeepCBA is a high-precision maize gene expression prediction model, which includes convolution neural network (CNN), bidirectional long short-term memory network (BiLSTM) and self-attention mechanism.
HOPE2Net network for predicting gene expressions in SRT
Gene expression prediction with Convolutional Recurrent Neural Networks
The main goal of this project is to construct a workflow for the prediction of gene expression levels in Stretococcus thermophilus from promoter sequences.
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