MOSCATO: a supervised approach for analyzing multi-Omic single-Cell data

BACKGROUND: Advancements in genomic sequencing continually improve personalized medicine, and recent breakthroughs generate multimodal data on a cellular level. We introduce MOSCATO, a technique for selecting features across multimodal single-cell datasets that relate to clinical outcomes. We summar...

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Detalles Bibliográficos
Autores principales: Towle-Miller, Lorin M., Miecznikowski, Jeffrey C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351124/
https://www.ncbi.nlm.nih.gov/pubmed/35927608
http://dx.doi.org/10.1186/s12864-022-08759-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351124/
https://www.ncbi.nlm.nih.gov/pubmed/35927608
http://dx.doi.org/10.1186/s12864-022-08759-3

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