A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary Patterns

This review reviews papers published between 2016 and 2025 on the use of deep learning to discover evolutionary patterns in genomic data to address the challenges of modeling complex and nonlinear evolutionary processes beyond traditional methods. The

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Published
2025-09-15
DOI
https://doi.org/10.22541/au.175795181.17000149/v1
Primary Topic
Gene expression and cancer classification
Type
article
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article

A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary Patterns

Raha Hassanpour Faramoushjani
Gene expression and cancer classification
article

A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary Patterns

Raha Hassanpour Faramoushjani
article en

Abstract

This review reviews papers published between 2016 and 2025 on the use of deep learning to discover evolutionary patterns in genomic data to address the challenges of modeling complex and nonlinear evolutionary processes beyond traditional methods. The

Yazd University (IR)
Openalex Percentile: Top 78%
Gene expression and cancer classification
DOIOpen Access PDFOpenAlex
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A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary Patterns — Raha Hassanpour Faramoushjani · (2025) | TGRS Research Map | TGRS