Add to ORKGIn the last report we touched upon the basics of Single-Cell technology, its working and methods used to analyze the data. It was mentioned in the future development section that the focus would be to evaluate R packages in order to provide additional utilities and biological insights compared to the standard Seurat [1] workflow for other major steps of single-cell RNA-seq analysis, including clustering, cell type annotation and additional downstream analysis beyond differential expression (i.e. Pseudotime analysis, enrichment analysis, receptor-ligand enrichment, etc.) In the present report, we focus on utilities provided through packages like SC3 [2], scPred [3] for clustering and annotations respectively
Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows...
This is the R package for the work "A machine learning-based method for automatically identifying no...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
This record includes training materials associated with the Australian BioCommons workshop ‘Single c...
I will present the Single Cell Toolkit (SCTK), an R package and interactive single cell RNA-sequenci...
Annotating cell types is a critical step in single-cell RNA sequencing (scRNA-seq) data analysis. So...
Single cell RNA-Seq is one type of single cell –omics experiment. The technology to perform single c...
The advent of single-cell sequencing is providing unprecedented opportunities to disentangle tissue ...
<p>(A) Categories of tools in the scRNA-tools database. Each tool can be assigned to multiple catego...
Single-cell RNA sequencing (scRNAseq) represents a new kind of microscope that can measure the trans...
Motivation: Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression at ...
Thesis (Ph.D.)--University of Washington, 2022Analysis of single cell RNA sequencing (scRNA-seq) dat...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
MOTIVATION: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving field. ...
ABSTRACTMotivation Single-cell RNA-sequencing (scRNAseq) experiments are becoming a standard tool fo...
Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows...
This is the R package for the work "A machine learning-based method for automatically identifying no...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
This record includes training materials associated with the Australian BioCommons workshop ‘Single c...
I will present the Single Cell Toolkit (SCTK), an R package and interactive single cell RNA-sequenci...
Annotating cell types is a critical step in single-cell RNA sequencing (scRNA-seq) data analysis. So...
Single cell RNA-Seq is one type of single cell –omics experiment. The technology to perform single c...
The advent of single-cell sequencing is providing unprecedented opportunities to disentangle tissue ...
<p>(A) Categories of tools in the scRNA-tools database. Each tool can be assigned to multiple catego...
Single-cell RNA sequencing (scRNAseq) represents a new kind of microscope that can measure the trans...
Motivation: Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression at ...
Thesis (Ph.D.)--University of Washington, 2022Analysis of single cell RNA sequencing (scRNA-seq) dat...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...
MOTIVATION: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving field. ...
ABSTRACTMotivation Single-cell RNA-sequencing (scRNAseq) experiments are becoming a standard tool fo...
Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows...
This is the R package for the work "A machine learning-based method for automatically identifying no...
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cel...