Article

MOSCATO: A Supervised Approach for Analyzing Multi-Omic Single-Cell Data

2021-09-04

Abstract excerpt

Advancements in genomic sequencing continually improve personalized medicine in complex diseases. Recent breakthroughs generate multiple types of signatures (or multi-omics) from each cell, producing different data ‘omic’ types per single-cell experiment. We introduce MOSCATO, a technique for selecting features across multi-omic single-cell datasets that relate to clinical outcomes. For example, we leverage penali...

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Literature Corpus work: 91523645-903a-5f99-8599-e3309035c0cd
DOI: 10.1101/2021.09.02.458781

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