Comparative analysis of tissue-specific genes in maize based on machine learning models: CNN performs technically best, LightGBM performs biologically soundest

Introduction: With the advancement of RNA-seq technology and machine learning, training large-scale RNA-seq data from databases with machine learning models can generally identify genes with important regulatory roles that were previously missed by standard linear analytic methodologies. Finding tis...

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Detalles Bibliográficos
Autores principales: Wang, Zijie, Zhu, Yuzhi, Liu, Zhule, Li, Hongfu, Tang, Xinqiang, Jiang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203421/
https://www.ncbi.nlm.nih.gov/pubmed/37229198
http://dx.doi.org/10.3389/fgene.2023.1190887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203421/
https://www.ncbi.nlm.nih.gov/pubmed/37229198
http://dx.doi.org/10.3389/fgene.2023.1190887

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