Boosting Single-Cell RNA Sequencing Analysis with Simple Neural Attention

A limitation of current deep learning (DL) approaches for single-cell RNA sequencing (scRNAseq) analysis is the lack of interpretability. Moreover, existing pipelines are designed and trained for specific tasks used disjointly for different stages of analysis. We present scANNA, a novel interpretabl...

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Detalles Bibliográficos
Autores principales: Davalos, Oscar A., Heydari, A. Ali, Fertig, Elana J., Sindi, Suzanne S., Hoyer, Katrina K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312486/
https://www.ncbi.nlm.nih.gov/pubmed/37398136
http://dx.doi.org/10.1101/2023.05.29.542760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312486/
https://www.ncbi.nlm.nih.gov/pubmed/37398136
http://dx.doi.org/10.1101/2023.05.29.542760

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