Linking cells across single-cell modalities by synergistic matching of neighborhood structure.

ABSTRACT:

Motivation

A wide variety of experimental methods are available to characterize different properties of single cells in a complex biosample. However, because these measurement techniques are typically destructive, researchers are often presented with complementary measurements from disjoint subsets of cells, providing a fragmented view of the cell's biological processes. This creates a need for computational tools capable of integrating disjoint multi-omics data. Because different measurements typically do not share any features, the problem requires the integration to be done in unsupervised fashion. Recently, several methods have been proposed that project the cell measurements into a common latent space and attempt to align the corresponding low-dimensional manifolds.

Results

SUBMITTER: Hristov BH 

PROVIDER: S-EPMC9486587 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature