Article

Hybrid BiGRU-BiLSTM Model for Robust Gene Sequence Classification: Leveraging K-Mer Preprocessing and Comprehensive Evaluation

2025-06-26

Abstract excerpt

<title>Abstract</title> Genome sequencing is a powerful technology that decodes the unique sequence of DNA in an organism, providing detailed insights into genetic information. By identifying variations in these sequences, researchers can pinpoint the genetic causes of various diseases. However, the accurate classification of gene sequences remains a major challenge due to the complex and high-dimensional natu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 42d90c78-46fa-53f2-b816-fefdf94f6a15
DOI: 10.21203/rs.3.rs-6775518/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Hybrid BiGRU-BiLSTM Model for Robust Gene Sequence Classification: Leveraging K-Mer Preprocessing and Comprehensive EvaluationDOI 10.21203/rs.3.rs-6775518/v1Read

Enhancing the prediction of protein coding regions in biological sequence via a deep learning framework with hybrid encoding ★,★★Semantic proximity Read

Using Deep Learning for Gene Detection and Classification in Raw Nanopore SignalsSemantic proximity Read

A platform for deep learning on (meta)genomic sequencesSemantic proximity Read

A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequencesSemantic proximity Read

Genomic Touchstone: Benchmarking Genomic Language Models in the Context of the Central DogmaSemantic proximity Read

Hybrid Deep Learning–Based Rapid Broad-Spectrum Antimicrobial Susceptibility Testing from Whole-Genome AssembliesSemantic proximity Read

Classifying COVID-19 variants based on genetic sequences using deep learning modelsSemantic proximity Read

Predicting drug resistance in M. tuberculosis using a Long-term Recurrent Convolutional NetworkSemantic proximity Read

Tiberius: End-to-End Deep Learning with an HMM for Gene PredictionSemantic proximity Read

Temporal convolutional network for a Fast DNA mutation detection in breast cancer data.Semantic proximity Read

A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary PatternsSemantic proximity Read

Towards end-to-end disease prediction from raw metagenomic dataSemantic proximity Read