Deep learning on computational biology and bioinformatics tutorial: from DNA to protein folding and alphafold2 | AI Summer
Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning
Protein Sequence Classification. A case study on Pfam dataset to… | by Ronak Vijay | Towards Data Science
Learning meaningful representations of protein sequences | Nature Communications
One-hot vector representation of DNA sequence. | Download Scientific Diagram
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome - ScienceDirect
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS
Genes | Free Full-Text | DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network
Deep Learning for Sequence Pattern Recognition
python - How to transform amino acid raw data to 3d tensor by one hot encoding by tensorflow - Stack Overflow
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network: Molecular Therapy - Nucleic Acids
pandas - How to convert Protein sequence to one hot encoding in python? - Stack Overflow
How Deep Learning Tools Can Help Protein Engineers Find Good Sequences | The Journal of Physical Chemistry B
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome - ScienceDirect
DeepMHC: Deep Convolutional Neural Networks for High-performance peptide-MHC Binding Affinity Prediction | bioRxiv
Sam Sinai
Target representations. (a) One-hot representation of amino acids... | Download Scientific Diagram
Mathematical Approach to Protein Sequence Comparison Based on Physiochemical Properties | ACS Omega
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space | Scientific Reports
Two common encoding methods. (A) One hot encoding of base, where black... | Download Scientific Diagram
Nucleotide augmentation for machine learning-guided protein engineering
Schematic explanation of one-hot encoding, zero-padding and truncation... | Download Scientific Diagram
Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map | Journal of Cheminformatics | Full Text
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment
![Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/11262/1/fig-4-full.png "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]")
Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]
python - OneHotEncoding Protein Sequences - Stack Overflow
