Cargando…
Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration
MOTIVATION: We have entered the multi-omics era and can measure cells from different aspects. Hence, we can get a more comprehensive view by integrating or matching data from different spaces corresponding to the same object. However, it is particularly challenging in the single-cell multi-omics sce...
Autores principales: | Wang, Xuesong, Hu, Zhihang, Yu, Tingyang, Wang, Yixuan, Wang, Ruijie, Wei, Yumeng, Shu, Juan, Ma, Jianzhu, Li, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101696/ https://www.ncbi.nlm.nih.gov/pubmed/36975610 http://dx.doi.org/10.1093/bioinformatics/btad162 |
Ejemplares similares
-
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images
por: Ullah, Zahid, et al.
Publicado: (2023) -
Abnormal ECG detection based on an adversarial autoencoder
por: Shan, Lianfeng, et al.
Publicado: (2022) -
Face Aging by Explainable Conditional Adversarial Autoencoders
por: Korgialas, Christos, et al.
Publicado: (2023) -
Adversarial and variational autoencoders improve metagenomic binning
por: Líndez, Pau Piera, et al.
Publicado: (2023) -
Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders
por: Shayakhmetov, Rim, et al.
Publicado: (2020)