Analysis of gene sequences for automated classifications of exons and introns with genomic signal processing-based features and Machine learning

Name: Analysis of gene sequences for automated classifications of exons and introns with genomic signal processing-based features and Machine learning
Creator: Subhajit Kar
Published: 2026-03-31T20:25:33.141Z
Keywords: Biomedical Signal Processing

Kar, Subhajit

doi:10.17632/zwf5cm2jxr.2

Analysis of gene sequences for automated classifications of exons and introns with genomic signal processing-based features and Machine learning

Published: 31 March 2026| Version 2 | DOI: 10.17632/zwf5cm2jxr.2

Contributor:

Subhajit Kar

Description

The dataset contain 10 gene sequences in FASTA format. Each individual gene contains coding and non-coding sequences separately. The dataset 2 contains Asp67 and HMR195 datasets and two Next generation sequencing datasets.

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Institutions

West Bengal State University
West Bengal, Kolkata

Analysis of gene sequences for automated classifications of exons and introns with genomic signal processing-based features and Machine learning

Description

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Institutions

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