Single-Cell Multi-Omics
Single-cell multi-omics refers to technologies that simultaneously measure multiple molecular modalities, such as transcriptome and epigenome, in the same cell. It requires mapping different omics data into a unified cell embedding space for joint analysis.
Timeline (last 90 days)
In single-cell multi-omics data, FlowAlign can better align cell representations across omics modalities, aiding downstream cell type annotation and trajectory inference.
Single-cell multi-omics refers to technologies that simultaneously measure multiple molecular modalities in the same cell, such as paired measurement of scRNA-seq and scATAC-seq, or CITE-seq capturing the transcriptome and surface proteins simultaneously.
All Facts (2)
In single-cell multi-omics data, FlowAlign can better align cell representations across omics modalities, aiding downstream cell type annotation and trajectory inference.
50%UnverifiedSingle-cell multi-omics refers to technologies that simultaneously measure multiple molecular modalities in the same cell, such as paired measurement of scRNA-seq and scATAC-seq, or CITE-seq capturing the transcriptome and surface proteins simultaneously.
50%