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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

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

Structure-aware protein solubility prediction from sequence through graph  convolutional network and predicted contact map | Journal of  Cheminformatics | Full Text
Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map | Journal of Cheminformatics | Full Text

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

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

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

Neural networks to learn protein sequence–function relationships from deep  mutational scanning data | PNAS
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS

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]

CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction |  SpringerLink
CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction | SpringerLink

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]

Mathematical Approach to Protein Sequence Comparison Based on  Physiochemical Properties | ACS Omega
Mathematical Approach to Protein Sequence Comparison Based on Physiochemical Properties | ACS Omega

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

Two common encoding methods. (A) One hot encoding of base, where black... |  Download Scientific Diagram
Two common encoding methods. (A) One hot encoding of base, where black... | Download Scientific Diagram

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

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

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

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

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

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

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

A Convolutional Neural Network Using Dinucleotide One-hot Encoder for  identifying DNA N6-Methyladenine Sites in the Rice Genome - ScienceDirect
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome - ScienceDirect

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

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

DNA / Protein Representation for Machine Learning Task with interactive  code | by Jae Duk Seo | Towards Data Science
DNA / Protein Representation for Machine Learning Task with interactive code | by Jae Duk Seo | Towards Data Science

Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review  and Assessment
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment