Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis …
Single cell RNA sequencing (scRNA-seq), which promises to enable the quantitative study
of biological processes at the single cell level, are now a routine part of experimental …
of biological processes at the single cell level, are now a routine part of experimental …
scCATCH: automatic annotation on cell types of clusters from single-cell RNA sequencing data
Recent advancements in single-cell RNA sequencing (scRNA-seq) have facilitated the
classification of thousands of cells through transcriptome profiling, wherein accurate cell …
classification of thousands of cells through transcriptome profiling, wherein accurate cell …
scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement
Motivation In the past decade, single-cell RNA sequencing (scRNA-seq) has emerged as a
pivotal method for transcriptomic profiling in biomedical research. Precise cell-type …
pivotal method for transcriptomic profiling in biomedical research. Precise cell-type …
Imbalance and Composition Correction Ensemble Learning Framework (ICCELF): A novel framework for automated scRNA-seq cell type annotation
Single-cell RNA sequencing (scRNA-seq) has gained broad utility and success in revealing
novel biological insight in preclinical and clinical investigations. Cell type annotation …
novel biological insight in preclinical and clinical investigations. Cell type annotation …
One Cell At a Time: A Unified Framework to Integrate and Analyze Single-cell RNA-seq Data
CX Wang, L Zhang, B Wang - bioRxiv, 2021 - biorxiv.org
The surge of single-cell RNA sequencing technologies gives rise to the abundance of large
single-cell RNA-seq datasets at the scale of hundreds of thousands of single cells …
single-cell RNA-seq datasets at the scale of hundreds of thousands of single cells …
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 …
Improving replicability in single-cell RNA-Seq cell type discovery with Dune
Background Single-cell transcriptome sequencing (scRNA-Seq) has allowed new types of
investigations at unprecedented levels of resolution. Among the primary goals of scRNA …
investigations at unprecedented levels of resolution. Among the primary goals of scRNA …
CIPR: a web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments
Background Single cell RNA sequencing (scRNAseq) has provided invaluable insights into
cellular heterogeneity and functional states in health and disease. During the analysis of …
cellular heterogeneity and functional states in health and disease. During the analysis of …
CIA: a Cluster Independent Annotation method to investigate cell identities in scRNA-seq data
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of the
transcriptional landscape of complex tissues, enabling the discovery of novel cell types and …
transcriptional landscape of complex tissues, enabling the discovery of novel cell types and …
scID: identification of transcriptionally equivalent cell populations across single cell RNA-seq data using discriminant analysis
The power of single cell RNA sequencing (scRNA-seq) stems from its ability to uncover cell
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …