scMerge: Integration of multiple single-cell transcriptomics datasets leveraging stable expression and pseudo-replication
Concerted examination of multiple collections of single cell RNA-Seq (scRNA-Seq) data
promises further biological insights that cannot be uncovered with individual datasets …
promises further biological insights that cannot be uncovered with individual datasets …
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Concerted examination of multiple collections of single-cell RNA sequencing (RNA-seq)
data promises further biological insights that cannot be uncovered with individual datasets …
data promises further biological insights that cannot be uncovered with individual datasets …
[PDF][PDF] FIRM: fast Integration of singlecell RNA-sequencing data across multiple platforms
Single-cell RNA-sequencing (scRNA-seq) has now been used extensively to discover novel
cell types and reconstruct developmental trajectories by measuring mRNA expression …
cell types and reconstruct developmental trajectories by measuring mRNA expression …
Scaling up single-cell RNA-seq data analysis with CellBridge workflow
Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression
at the individual cell level, unraveling unprecedented insights into cellular heterogeneity …
at the individual cell level, unraveling unprecedented insights into cellular heterogeneity …
Scanorama: integrating large and diverse single-cell transcriptomic datasets
Merging diverse single-cell RNA sequencing (scRNA-seq) data from numerous
experiments, laboratories and technologies can uncover important biological insights …
experiments, laboratories and technologies can uncover important biological insights …
scRNA-seq mixology: towards better benchmarking of single cell RNA-seq analysis methods
Single cell RNA sequencing (scRNA-seq) technology has undergone rapid development in
recent years, bringing with it new challenges in data processing and analysis. This has led …
recent years, bringing with it new challenges in data processing and analysis. This has led …
Addressing the looming identity crisis in single cell RNA-seq
Single cell RNA-sequencing technology (scRNA-seq) provides a new avenue to discover
and characterize cell types, but the experiment-specific technical biases and analytic …
and characterize cell types, but the experiment-specific technical biases and analytic …
One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data
Integrative analysis of large-scale single-cell RNA sequencing (scRNA-seq) datasets can
aggregate complementary biological information from different datasets. However, most …
aggregate complementary biological information from different datasets. However, most …
Interactive single cell RNA-Seq analysis with the Single Cell Toolkit (SCTK)
DF Jenkins, T Faits, E Briars, S Carrasco Pro… - BioRxiv, 2018 - biorxiv.org
Single cell RNA-sequencing (scRNA-Seq) allows researchers to profile transcriptional
activity in individual cells. However, the complex nature of these data and variability in study …
activity in individual cells. However, the complex nature of these data and variability in study …
ClusterMap: comparing analyses across multiple single cell RNA-seq profiles
X Gao, D Hu, M Gogol, H Li - bioRxiv, 2018 - biorxiv.org
Single cell RNA-Seq facilitates the characterization of cell type heterogeneity and
developmental processes. Further study of single cell profiles across different conditions …
developmental processes. Further study of single cell profiles across different conditions …