CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data

Mostrar otras versiones (1)

Integration of heterogeneous and high-dimensional multi-omics data is becoming increasingly important in understanding genetic data. Each omics technique only provides a limited view of the underlying biological process and integrating heterogeneous omics layers simultaneously would lead to a more c...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Chen, Liu, Anqi, Zhang, Xiao, Cao, Xuewei, Ding, Zhengming, Sha, Qiuying, Shen, Hui, Deng, Hong-Wen, Zhou, Weihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187371/
https://www.ncbi.nlm.nih.gov/pubmed/37205427
http://dx.doi.org/10.21203/rs.3.rs-2768563/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187371/
https://www.ncbi.nlm.nih.gov/pubmed/37205427
http://dx.doi.org/10.21203/rs.3.rs-2768563/v1

Ejemplares similares