InClust+: the deep generative framework with mask modules for multimodal data integration, imputation, and cross-modal generation.

ABSTRACT:

Background

With the development of single-cell technology, many cell traits can be measured. Furthermore, the multi-omics profiling technology could jointly measure two or more traits in a single cell simultaneously. In order to process the various data accumulated rapidly, computational methods for multimodal data integration are needed.

Results

Here, we present inClust+, a deep generative framework for the multi-omics. It's built on previous inClust that is specific for transcriptome data, and augmented with two mask modules designed for multimodal data processing: an input-mask module in front of the encoder and an output-mask module behind the decoder. InClust+ was first used to integrate scRNA-seq and MERFISH data from similar cell populations, and to impute MERFISH dat

SUBMITTER: Wang L 

PROVIDER: S-EPMC10809631 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature