Mapping single-cell developmental potential in health and disease with interpretable deep learning
Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cell fate in
developmental systems. However, identifying the molecular hallmarks of potency-the …
developmental systems. However, identifying the molecular hallmarks of potency-the …
Single-cell transcriptional diversity is a hallmark of developmental potential
GS Gulati, SS Sikandar, DJ Wesche, A Manjunath… - Science, 2020 - science.org
Single-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular
differentiation trajectories. However, inferring both the state and direction of differentiation is …
differentiation trajectories. However, inferring both the state and direction of differentiation is …
An integrated cell barcoding and computational analysis pipeline for scalable analysis of differentiation at single-cell resolution
This study develops a versatile cell multiplexing and data analysis platform to accelerate
knowledge gain into mechanisms of cell differentiation. We engineer a cell barcoding …
knowledge gain into mechanisms of cell differentiation. We engineer a cell barcoding …
Learning latent embedding of multi-modal single cell data and cross-modality relationship simultaneously
Motivation Single cell multi-omics studies allow researchers to understand cell differentiation
and development mechanisms in a more comprehensive manner. Single cell ATAC …
and development mechanisms in a more comprehensive manner. Single cell ATAC …
Moana: a robust and scalable cell type classification framework for single-cell RNA-Seq data
Abstract Single-cell RNA-Seq (scRNA-Seq) enables the systematic molecular
characterization of heterogeneous tissues at an unprecedented resolution and scale …
characterization of heterogeneous tissues at an unprecedented resolution and scale …
redPATH: reconstructing the pseudo development time of cell lineages in single-cell RNA-seq data and applications in cancer
The recent advancement of single-cell RNA sequencing (scRNA-seq) technologies
facilitates the study of cell lineages in developmental processes and cancer. In this study, we …
facilitates the study of cell lineages in developmental processes and cancer. In this study, we …
Exploring additional valuable information from single-cell RNA-seq data
Y Li, Q Xu, D Wu, G Chen - Frontiers in Cell and Developmental …, 2020 - frontiersin.org
Single-cell RNA-seq (scRNA-seq) technologies are broadly applied to dissect the cellular
heterogeneity and expression dynamics, providing unprecedented insights into single-cell …
heterogeneity and expression dynamics, providing unprecedented insights into single-cell …
Reference-free cell-type annotation for single-cell transcriptomics using deep learning with a weighted graph neural network
Advances in single-cell RNA sequencing (scRNA-seq) have furthered the simultaneous
classification of thousands of cells in a single assay based on transcriptome profiling. In …
classification of thousands of cells in a single assay based on transcriptome profiling. In …
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 …
Millefy: visualizing cell-to-cell heterogeneity in read coverage of single-cell RNA sequencing datasets
H Ozaki, T Hayashi, M Umeda, I Nikaido - BMC genomics, 2020 - Springer
Background Read coverage of RNA sequencing data reflects gene expression and RNA
processing events. Single-cell RNA sequencing (scRNA-seq) methods, particularly “full …
processing events. Single-cell RNA sequencing (scRNA-seq) methods, particularly “full …