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q-bio.QM2015★ 125 cited
Convolutional LSTM Networks for Subcellular Localization of Proteins
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen +1
Machine learning is widely used to analyze biological sequence data. Non-sequential models such as SVMs or feed-forward neural networks are often used although they have no natural…
q-bio.QM2015★ 102 cited
Protein Secondary Structure Prediction with Long Short Term Memory Networks
Søren Kaae Sønderby, Ole Winther
Prediction of protein secondary structure from the amino acid sequence is a classical bioinformatics problem. Common methods use feed forward neural networks or SVMs combined with…