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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Guangdong Academy of Agricultural Sciences
2024-01-01
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Series: | Guangdong nongye kexue |
Subjects: | |
Online Access: | http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202401010 |