Results 11 to 20 of about 486,973 (258)

GapClust is a light-weight approach distinguishing rare cells from voluminous single cell expression profiles

open access: yesNature Communications, 2021
While rare cell type identification is indispensable in single cell studies, powerful tools with high detection accuracy and computational efficiency are still lacking.
Botao Fa   +7 more
doaj   +1 more source

The Blood Circulating Rare Cell Population. What is it and What is it Good For?

open access: yesCells, 2020
Blood contains a diverse cell population of low concentration hematopoietic as well as non-hematopoietic cells. The majority of such rare cells may be bone marrow-derived progenitor and stem cells. This paucity of circulating rare cells, in particular in
Stefan Schreier, Wannapong Triampo
doaj   +1 more source

Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data

open access: yesGenomics, Proteomics & Bioinformatics, 2021
Annotating cell types is a critical step in single-cell RNA sequencing (scRNA-seq) data analysis. Some supervised or semi-supervised classification methods have recently emerged to enable automated cell type identification.
Qianhui Huang   +3 more
doaj   +1 more source

DigiTAG–a RNA Sequencing Approach to Analyze Transcriptomes of Rare Cell Populations in Drosophila melanogaster

open access: yesBio-Protocol, 2020
Cell-type specific transcriptional programs underlie the development and maintenance of organs. Not only distinct cell types within a tissue, even cells with supposedly identical cell fates show a high degree of transcriptional heterogeneity. Inevitable,
Lisa Landskron   +3 more
doaj   +1 more source

ProgClust: A progressive clustering method to identify cell populations

open access: yesFrontiers in Genetics, 2023
Identifying different types of cells in scRNA-seq data is a critical task in single-cell data analysis. In this paper, we propose a method called ProgClust for the decomposition of cell populations and detection of rare cells.
Han Li   +10 more
doaj   +1 more source

Clump sequencing exposes the spatial expression programs of intestinal secretory cells

open access: yesNature Communications, 2021
Combining scRNA-seq with spatial information to enable the reconstruction of spatially-resolved cell atlases is challenging for rare cell types. Here the authors present ClumpSeq, an approach for sequencing small clumps of tissue attached cells, and ...
Rita Manco   +5 more
doaj   +1 more source

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

open access: yesiScience, 2022
Summary: Single-cell transcriptomics enables the definition of diverse human immune cell types across multiple tissues and disease contexts. Further deeper biological understanding requires comprehensive integration of multiple single-cell omics ...
Congmin Xu   +5 more
doaj   +1 more source

Myoepithelial carcinoma of mixed cell type: a rare entity [PDF]

open access: yesJournal of Dermatology & Cosmetology, 2018
Myoepitheliomas represent a large group of uncommon mesenchymal neoplasms characterized by myoepithelial differentiation.
Erica Dalla Venezia   +8 more
openaire   +1 more source

Insect Insights at the Single-Cell Level: Technologies and Applications

open access: yesCells, 2023
Single-cell techniques are a promising way to unravel the complexity and heterogeneity of transcripts at the cellular level and to reveal the composition of different cell types and functions in a tissue or organ. In recent years, advances in single-cell
Chao Sun, Yongqi Shao, Junaid Iqbal
doaj   +1 more source

CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

open access: yesGenome Biology, 2019
We develop CellSIUS (Cell Subtype Identification from Upregulated gene Sets) to fill a methodology gap for rare cell population identification for scRNA-seq data.
Rebekka Wegmann   +13 more
doaj   +1 more source

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