Results 21 to 30 of about 183,994 (309)
Multiplexed single-cell RNA-sequencing of mouse thymic and splenic samples
STAR Protocols, 2022 Summary: Multiplexed single-cell RNA-sequencing (scRNA-seq) enables investigating several biological samples in one scRNA-seq experiment. Here, we use antibodies tagged with a hashtag oligonucleotide (Ab-HTO) to label each sample, and 10× Genomics ...
Saran Pankaew +6 more
doaj +1 more source
scRNA-seq on iPSC-derived microglia
, 2023 scRNA-seq of iPSC-microglia (pseudo-bulk) Pseudo-bulk from processed single-cell RNA-seq data from uninfected iPSC-derived microglia (comprising protein-coding genes).
Carl Herrmann (6582830) +5 more
core +1 more source
TableE13-Pseudo-bulk-of-scRNA-seq-EMT-differential-lncRNA-expression-list.xlsx
, 2022 TableE13-Pseudo-bulk-of-scRNA-seq-EMT-differential-lncRNA-expression-list ...
Adam Williams (12021065) +1 more
core +1 more source
Visualizing scRNA-Seq data at population scale with GloScope
Genome Biology, 2023 Abstract Increasingly, scRNA-Seq studies explore cell populations across different samples and the effect of sample heterogeneity on organism’s phenotype. However, relatively few bioinformatic methods have been developed which adequately address the variation between samples for such population-level analyses.
Hao Wang +3 more
openaire +6 more sources
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
Frontiers in Genetics, 2019 Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene expression at single-cell resolution, which greatly revolutionizes transcriptomic studies.
Geng Chen, Baitang Ning, Tieliu Shi
doaj +1 more source
Contrastive self-supervised clustering of scRNA-seq data [PDF]
BMC Bioinformatics, 2021 Abstract Background Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to study transcriptional activity at the cellular level. Clustering analysis is routinely performed on scRNA-seq data to explore, recognize or discover underlying cell identities.
Ciortan, Madalina, Defrance, Matthieu
openaire +4 more sources
scRNA-seq analysis for striped mice and laboratory mice
, 2023 Code used for scRNA-seq analysis for striped mice and laboratory ...
Ricardo Mallarino (15183760)
core +1 more source
Applications of single-cell RNA sequencing in atopic dermatitis and psoriasis
Frontiers in Immunology, 2022 Single-cell RNA sequencing (scRNA-seq) is a novel technology that characterizes molecular heterogeneity at the single-cell level. With the development of more automated, sensitive, and cost-effective single-cell isolation methods, the sensitivity and ...
Dengmei Xia +8 more
doaj +1 more source
Comparison and evaluation of statistical error models for scRNA-seq [PDF]
Genome Biology, 2021 Abstract Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple sources, including biological variation in cellular state as well as technical variation introduced during experimental processing.
Saket Choudhary, Rahul Satija
openaire +4 more sources
TableE12-Pseudo-bulk-analysis-of-scRNA-seq-EMT-differential-gene-expression-list.xlsx
, 2022 TableE12-Pseudo-bulk-analysis-of-scRNA-seq-EMT-differential-gene-expression-list ...
Adam Williams (12021065) +1 more
core +1 more source