ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation

IntroductionThe advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and conditions. However, the complexity and volume of RNA-Seq data pose challenges in identifying dif...

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Үндсэн зохиолчид:	Melih Agraz, Dincer Goksuluk, Peng Zhang, Bum-Rak Choi, Richard T. Clements, Gaurav Choudhary, George Em Karniadakis
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Frontiers Media S.A. 2024-09-01
Цуврал:	Frontiers in Genetics
Нөхцлүүд:	RNA-seq differential expression mixup machine learning feature selection
Онлайн хандалт:	https://www.frontiersin.org/articles/10.3389/fgene.2024.1442759/full
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!