The ability to obtain these two layers of omics data will help provide more accurate definitions of "single cell states" and enable the deconvolution of regulatory heterogeneity from complex cell populations.doi:10.1101/316208Longqi LiuChuanyu Liu...
MuSiC2is an iterative algorithm aiming to improve cell type deconvolution for bulk RNA-seq data using scRNA-seq data as reference when the bulk data are generated from samples with multiple clinical conditions where at least one condition is different from the scRNA-seq reference. ...
Cell-type deconvolution Decomposing the cell-type composition of individual barcode regions based on a reference data set to obtain abundances or proportions of individual cells within a barcode region. Cell segmentation Processing of microscopic image domains into segments that represent individual cells....
We introduce DoubletDecon, an approach that detects doublets with a combination of deconvolution analyses and the identification of unique cell-state gene expression. We demonstrate the ability of DoubletDecon to identify synthetic, mixed-species, genetic, and cell-hashing cell doublets from scRNA-...
Single-Cell Deconvolution of Fibroblast Heterogeneity in Mouse Pulmonary Fibrosis Single-cell transcriptome analyses classified and defined six mesenchymal cell types in normal lung and seven in fibrotic lung. Furthermore, delineation of ... T Xie,Y Wang,N Deng,... - 《Cell Reports》 被引量: 3...
Conclusion The STR profiling of single cells isolated by DEPArrayTM technology opens up completely new possibilities in the field of mixture deconvolution, especially for mixtures composed of cells of the same cell type.doi:10.1007/s00194-018-0291-1Anslinger, K....
EpiSCORE is an R-package for constructing a tissue-specific DNA methylation reference matrix that can be subsequently used in conjunction with a reference-based cell-type deconvolution algorithm to (i) obtain cell-type fraction estimates in a corresponding bulk-tissue sample for which a genome-wide...
METHOD FOR IDENTIFYING RARE CELL TYPES BY SINGLE CELL ASSISTED DECONVOLUTION OF POPULATION GENE EXPRESSION DATAThe invention provides methods of identifying the gene expression profile of a cell type present within a population of cells using single cell expression data by a residual minimization process...
RNA-seq signatures normalized by mRNA abundance allow absolute deconvolution of human immune cell types. Cell Rep. 2019;26(6):1627–40. https://doi.org/10.1016/j.celrep.2019.01.041. CAS PubMed PubMed Central Google Scholar Traag VA, Waltman L, Van Eck NJ. From louvain to Leiden: ...
Full size image CellTrek is a computational toolkit that enables direct mapping of individual cells back to their spatial coordinates in tissue sections based on scRNA-seq and ST data [14]. Unlike ST deconvolution methods, this approach transferred ST coordinates to single cells, thereby achieving ...