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Computational Methods for Single-Cell Multi-Omics Integration and Alignment
[article]
2022
arXiv
pre-print
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. However, the problem of integrating different -omics data with very different dimensionality and statistical properties remains quite challenging. A growing body of computational tools are being developed for this task, leveraging ideas ranging from machine
arXiv:2201.06725v1
fatcat:jo3pmpe2c5fl5lo4g2okpnkm4i