Deep learning inference of miRNA expression from bulk and single-cell mRNA expression

Studying miRNA activity at the single-cell level presents a significant challenge due to the limitations of existing single-cell technologies in capturing miRNAs. To address this, we introduce two deep learning models: Cross-modality (CM) and single-modality (SM), both based on encoder-decoder archi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of bioinformatics and computational biology Jg. 23; H. 3; S. 2550009
Hauptverfasser:	Ripan, Rony Chowdhury, Athaya, Tasbiraha, Li, Xiaoman, Hu, Haiyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore 01.06.2025
Schlagworte:	Algorithms Computational Biology - methods Deep Learning Gene Expression Profiling - methods Humans MicroRNAs - genetics MicroRNAs - metabolism RNA, Messenger - genetics RNA, Messenger - metabolism Single-Cell Analysis - methods deep learning miRNA expression cross-modality encoder-decoder
ISSN:	1757-6334, 1757-6334
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!