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Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence  Embedding | PLOS ONE
Adaptive GDDA-BLAST: Fast and Efficient Algorithm for Protein Sequence Embedding | PLOS ONE

An explainable unsupervised framework for alignment-free protein  classification using sequence embeddings | bioRxiv
An explainable unsupervised framework for alignment-free protein classification using sequence embeddings | bioRxiv

Overall schema for extracting the local patterns from the whole protein...  | Download Scientific Diagram
Overall schema for extracting the local patterns from the whole protein... | Download Scientific Diagram

Learning supervised embeddings for large scale sequence comparisons | PLOS  ONE
Learning supervised embeddings for large scale sequence comparisons | PLOS ONE

A deep learning framework combined with word embedding to identify DNA  replication origins | Scientific Reports
A deep learning framework combined with word embedding to identify DNA replication origins | Scientific Reports

Online Customer Buying Behavior using Sequence Embedding: A Case Study  Approach
Online Customer Buying Behavior using Sequence Embedding: A Case Study Approach

Nucleosome positioning based on DNA sequence embedding and deep learning |  BMC Genomics | Full Text
Nucleosome positioning based on DNA sequence embedding and deep learning | BMC Genomics | Full Text

The language of proteins: NLP, machine learning & protein sequences -  ScienceDirect
The language of proteins: NLP, machine learning & protein sequences - ScienceDirect

Sequence embedding method in PhaTYP. The block in "Protein Sentence"... |  Download Scientific Diagram
Sequence embedding method in PhaTYP. The block in "Protein Sentence"... | Download Scientific Diagram

ntEmbd: Deep learning embedding for nucleotide sequences — Saber HQ
ntEmbd: Deep learning embedding for nucleotide sequences — Saber HQ

PDF] Attributed Sequence Embedding | Semantic Scholar
PDF] Attributed Sequence Embedding | Semantic Scholar

Deep learning-based prediction of protein structure using learned  representations of multiple sequence alignments | bioRxiv
Deep learning-based prediction of protein structure using learned representations of multiple sequence alignments | bioRxiv

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

Embeddings | Machine Learning | Google for Developers
Embeddings | Machine Learning | Google for Developers

GitHub - wanwenzeng/ep2vec
GitHub - wanwenzeng/ep2vec

PDF] Adaptive BLASTing through the Sequence Dataspace: Theories on Protein Sequence  Embedding | Semantic Scholar
PDF] Adaptive BLASTing through the Sequence Dataspace: Theories on Protein Sequence Embedding | Semantic Scholar

Comparative visual analytics for assessing medical records with sequence  embedding - ScienceDirect
Comparative visual analytics for assessing medical records with sequence embedding - ScienceDirect

CASER | Lecture 83 (Part 2) | Applied Deep Learning (Supplementary) -  YouTube
CASER | Lecture 83 (Part 2) | Applied Deep Learning (Supplementary) - YouTube

PDF] Attributed Sequence Embedding | Semantic Scholar
PDF] Attributed Sequence Embedding | Semantic Scholar

The 4-step flowchart demonstrating our method for using word embedding... |  Download Scientific Diagram
The 4-step flowchart demonstrating our method for using word embedding... | Download Scientific Diagram

Biomolecules | Free Full-Text | EmbedDTI: Enhancing the Molecular  Representations via Sequence Embedding and Graph Convolutional Network for  the Prediction of Drug-Target Interaction
Biomolecules | Free Full-Text | EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction

Sequence Embedding for Clustering and Classification | by Chitta Ranjan |  Towards Data Science
Sequence Embedding for Clustering and Classification | by Chitta Ranjan | Towards Data Science

Frontiers | Immune2vec: Embedding B/T Cell Receptor Sequences in ℝN Using  Natural Language Processing
Frontiers | Immune2vec: Embedding B/T Cell Receptor Sequences in ℝN Using Natural Language Processing

Word embeddings | Text | TensorFlow
Word embeddings | Text | TensorFlow

Event sequence metric learning | DeepAI
Event sequence metric learning | DeepAI