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

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

Abstract 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. W...

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Bibliographic Details
Main Authors: Lorin M. Towle-Miller, Jeffrey C. Miecznikowski
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Genomics
Subjects:
Tensor regression
Single-cell sequencing
Multi-omics
Multimodal
Network analysis
Online Access:https://doi.org/10.1186/s12864-022-08759-3

Internet

https://doi.org/10.1186/s12864-022-08759-3

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