Computational Methods for Single-cell Multi-omics Integration and Alignment

Computational Methods for Single-cell Multi-omics Integration and Alignment

Recently developed technologies to generate single-cell genomic data have made a revolutionary impact in the field of biology. Multi-omics assays offer even greater opportunities to understand cellular states and biological processes. The problem of integrating different omics data with very differe...

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Bibliographic Details
Main Authors: Stefan Stanojevic, Yijun Li, Aleksandar Ristivojevic, Lana X. Garmire
Format: Article
Language:English
Published: Oxford University Press 2022-10-01
Series:Genomics, Proteomics & Bioinformatics
Subjects:
Single-cell
Multi-omics
Machine learning
Unsupervised learning
Integration
Online Access:http://www.sciencedirect.com/science/article/pii/S167202292200170X

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http://www.sciencedirect.com/science/article/pii/S167202292200170X

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