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Nucleotide-level Convolutional Neural Networks for Pre-miRNA Classification
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution - ScienceDirect
A novel technique for multiple failure modes classification based on deep forest algorithm
Dokumen - Pub Machine Learning in Bioinformatics of Protein Sequences Algorithms Databases and Resources For Modern Protein Bioinformatics 9811258570 9789811258572, PDF, Protein Structure
Using Deep Learning to Annotate the Protein Universe
MECE: a method for enhancing the catalytic efficiency of glycoside hydrolase based on deep neural networks and molecular evolution - ScienceDirect
Frontiers SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
PDF) Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm
Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning - ScienceDirect
Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
Codon language embeddings provide strong signals for use in protein engineering