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Genes | Free Full-Text | DeepNup: Prediction of Nucleosome Positioning from  DNA Sequences Using Deep Neural Network
Genes | Free Full-Text | DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network

One-hot vector representation of DNA sequence. | Download Scientific Diagram
One-hot vector representation of DNA sequence. | Download Scientific Diagram

Conjoint Feature Representation of GO and Protein Sequence for PPI  Prediction Based on an Inception RNN Attention Network: Molecular Therapy -  Nucleic Acids
Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network: Molecular Therapy - Nucleic Acids

Target representations. (a) One-hot representation of amino acids... |  Download Scientific Diagram
Target representations. (a) One-hot representation of amino acids... | Download Scientific Diagram

Biology | Free Full-Text | Prediction of Major Histocompatibility Complex  Binding with Bilateral and Variable Long Short Term Memory Networks
Biology | Free Full-Text | Prediction of Major Histocompatibility Complex Binding with Bilateral and Variable Long Short Term Memory Networks

Schematic explanation of one-hot encoding, zero-padding and truncation... |  Download Scientific Diagram
Schematic explanation of one-hot encoding, zero-padding and truncation... | Download Scientific Diagram

Deep learning on computational biology and bioinformatics tutorial: from  DNA to protein folding and alphafold2 | AI Summer
Deep learning on computational biology and bioinformatics tutorial: from DNA to protein folding and alphafold2 | AI Summer

Schematic diagram of encoding a window of amino acids to predict the... |  Download Scientific Diagram
Schematic diagram of encoding a window of amino acids to predict the... | Download Scientific Diagram

DeepMHC: Deep Convolutional Neural Networks for High-performance peptide-MHC  Binding Affinity Prediction | bioRxiv
DeepMHC: Deep Convolutional Neural Networks for High-performance peptide-MHC Binding Affinity Prediction | bioRxiv

pandas - How to convert Protein sequence to one hot encoding in python? -  Stack Overflow
pandas - How to convert Protein sequence to one hot encoding in python? - Stack Overflow

python - How to transform amino acid raw data to 3d tensor by one hot  encoding by tensorflow - Stack Overflow
python - How to transform amino acid raw data to 3d tensor by one hot encoding by tensorflow - Stack Overflow

Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a  unified metric space | Scientific Reports
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space | Scientific Reports

Nucleotide augmentation for machine learning-guided protein engineering
Nucleotide augmentation for machine learning-guided protein engineering

Genes | Free Full-Text | LGFC-CNN: Prediction of lncRNA-Protein  Interactions by Using Multiple Types of Features through Deep Learning
Genes | Free Full-Text | LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning

Protein Sequence Classification. A case study on Pfam dataset to… | by  Ronak Vijay | Towards Data Science
Protein Sequence Classification. A case study on Pfam dataset to… | by Ronak Vijay | Towards Data Science

iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution  neural network and Chou's pseudo components - ScienceDirect
iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components - ScienceDirect

Team:Edinburgh/Model - 2021.igem.org
Team:Edinburgh/Model - 2021.igem.org

Deep Learning for Sequence Pattern Recognition
Deep Learning for Sequence Pattern Recognition

Deep generative models for peptide design - Digital Discovery (RSC  Publishing) DOI:10.1039/D1DD00024A
Deep generative models for peptide design - Digital Discovery (RSC Publishing) DOI:10.1039/D1DD00024A

Prediction of DNA binding proteins using local features and long-term  dependencies with primary sequences based on deep learning
Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning

Example of one-hot encoding of the DNA sequence "TTTGACTCGT" | Download  Scientific Diagram
Example of one-hot encoding of the DNA sequence "TTTGACTCGT" | Download Scientific Diagram

How Deep Learning Tools Can Help Protein Engineers Find Good Sequences |  The Journal of Physical Chemistry B
How Deep Learning Tools Can Help Protein Engineers Find Good Sequences | The Journal of Physical Chemistry B