2022
DOI: 10.1093/nar/gkac781
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Integrated analysis of multimodal single-cell data with structural similarity

Abstract: Multimodal single-cell sequencing technologies provide unprecedented information on cellular heterogeneity from multiple layers of genomic readouts. However, joint analysis of two modalities without properly handling the noise often leads to overfitting of one modality by the other and worse clustering results than vanilla single-modality analysis. How to efficiently utilize the extra information from single cell multi-omics to delineate cell states and identify meaningful signal remains as a significant compu… Show more

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Cited by 54 publications
(30 citation statements)
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“…This approach combines single-cell RNA sequencing and single-cell ATAC sequencing, allowing for integrated analysis of these modalities. Data was analyzed in R 22 using mainly the Seurat 23 and Signac 24 packages, with the SAILERX package 25 .…”
Section: Resultsmentioning
confidence: 99%
“…This approach combines single-cell RNA sequencing and single-cell ATAC sequencing, allowing for integrated analysis of these modalities. Data was analyzed in R 22 using mainly the Seurat 23 and Signac 24 packages, with the SAILERX package 25 .…”
Section: Resultsmentioning
confidence: 99%
“…The scRNA‐Seq data were processed using the ‘Seurat’ R package, 11,12 with cells exhibiting less than 200 features being excluded. The data set was normalized and scaled employing Seurat's NormalizeData and ScaleData functions, respectively, with batch effects mitigated via canonical correlation analysis (CCA) 13 .…”
Section: Methodsmentioning
confidence: 99%
“…We re‐analyzed the datasets using Seurat 40 (version 4.0.5) for general analysis, including quality control and clustering. For zebrafish and rat datasets, we applied filters to remove genes expressing <3 cells and cells expressing <200 genes or >5500 genes with mitochondrial mapping rates >30% or ribosomal mapping rates >20%, resulting in QC standard 3549 cells of zebrafish and 5050 cells of rats.…”
Section: Methodsmentioning
confidence: 99%