Application of Autoencoder Interpolation to Enhance the Accuracy of Single-Cell Transcriptomic Analysis in Early Porcine Embryos

Application of Autoencoder Interpolation to Enhance the Accuracy of Single-Cell Transcriptomic Analysis in Early Porcine Embryos

【Objective】Autoencoder, as one of the deep learning algorithms, offers unique advantages in reducing dimensionality and conducting interpolation analysis on single-cell transcriptome data. The study aims to assess the feasibility of applying the autoencoder AutoClass to early porcine embryo single-c...

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Bibliographic Details
Main Authors: Zehang HUANG, Zhiqiang DU
Format: Article
Language:English
Published: Guangdong Academy of Agricultural Sciences 2024-01-01
Series:Guangdong nongye kexue
Subjects:
porcine
early embryo
single-cell transcriptome
in-dept learning
autoencoder
Online Access:http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202401010

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