BEENE: deep learning-based nonlinear embedding improves batch effect estimation

MOTIVATION: Analyzing large-scale single-cell transcriptomic datasets generated using different technologies is challenging due to the presence of batch-specific systematic variations known as batch effects. Since biological and technological differences are often interspersed, detecting and account...

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Detalles Bibliográficos
Autores principales: Rahman, Md Ashiqur, Tutul, Abdullah Aman, Sharmin, Mahfuza, Bayzid, Md Shamsuzzoha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448987/
https://www.ncbi.nlm.nih.gov/pubmed/37561107
http://dx.doi.org/10.1093/bioinformatics/btad479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448987/
https://www.ncbi.nlm.nih.gov/pubmed/37561107
http://dx.doi.org/10.1093/bioinformatics/btad479

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