By A Mystery Man Writer
Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning
Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021) [325, 1 ed.] 3030862577, 9783030862572
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution - ScienceDirect
Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
Deep_CNN_LSTM_GO: Protein function prediction from amino-acid sequences - ScienceDirect
Sensors, Free Full-Text
IJMS, Free Full-Text
Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
PDF) Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
Materials, Free Full-Text
(PDF) Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
PDF] Effects of padding on LSTMs and CNNs
BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction
DeepRCI: predicting RNA-chromatin interactions via deep learning with multi-omics data