[HTML][HTML] Automated methods for cell type annotation on scRNA-seq data
G Pasquini, JER Arias, P Schäfer… - Computational and …, 2021 - Elsevier
The advent of single-cell sequencing started a new era of transcriptomic and genomic
research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type …
research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type …
Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
M Su, T Pan, QZ Chen, WW Zhou, Y Gong, G Xu… - Military Medical …, 2022 - Springer
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has
advanced our understanding of the pathogenesis of disease and provided valuable insights …
advanced our understanding of the pathogenesis of disease and provided valuable insights …
YTHDF2 inhibition potentiates radiotherapy antitumor efficacy
Summary RNA N 6-methyladenosine (m 6 A) modification is implicated in cancer
progression. However, the impact of m 6 A on the antitumor effects of radiotherapy and the …
progression. However, the impact of m 6 A on the antitumor effects of radiotherapy and the …
Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data
Background A key task in single-cell RNA-seq (scRNA-seq) data analysis is to accurately
detect the number of cell types in the sample, which can be critical for downstream analyses …
detect the number of cell types in the sample, which can be critical for downstream analyses …
Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells
We present dyngen, a multi-modal simulation engine for studying dynamic cellular
processes at single-cell resolution. dyngen is more flexible than current single-cell …
processes at single-cell resolution. dyngen is more flexible than current single-cell …
Multiomic profiling of the acute stress response in the mouse hippocampus
The acute stress response mobilizes energy to meet situational demands and re-establish
homeostasis. However, the underlying molecular cascades are unclear. Here, we use a brief …
homeostasis. However, the underlying molecular cascades are unclear. Here, we use a brief …
Single-cell RNA-seq methods to interrogate virus-host interactions
The twenty-first century has seen the emergence of many epidemic and pandemic viruses,
with the most recent being the SARS-CoV-2-driven COVID-19 pandemic. As obligate …
with the most recent being the SARS-CoV-2-driven COVID-19 pandemic. As obligate …
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Recent advances in subcellular imaging transcriptomics platforms have enabled high-
resolution spatial mapping of gene expression, while also introducing significant analytical …
resolution spatial mapping of gene expression, while also introducing significant analytical …
Putative cell type discovery from single-cell gene expression data
Abstract We present the Single-Cell Clustering Assessment Framework, a method for the
automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) …
automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) …
A review of single-cell RNA-Seq annotation, integration, and cell–cell communication
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular biology at an unprecedented resolution, enabling the characterization of cellular …
cellular biology at an unprecedented resolution, enabling the characterization of cellular …