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JCI Insight - Single-cell analysis of fate-mapped macrophages reveals  heterogeneity, including stem-like properties, during atherosclerosis  progression and regression
JCI Insight - Single-cell analysis of fate-mapped macrophages reveals heterogeneity, including stem-like properties, during atherosclerosis progression and regression

Single-cell trajectory analysis
Single-cell trajectory analysis

Frontiers | LISA2: Learning Complex Single-Cell Trajectory and Expression  Trends
Frontiers | LISA2: Learning Complex Single-Cell Trajectory and Expression Trends

Pathologic evolution-related Gene Analysis based on both single-cell and  bulk transcriptomics in Colorectal Cancer
Pathologic evolution-related Gene Analysis based on both single-cell and bulk transcriptomics in Colorectal Cancer

Pseudotime Estimation – Deconfounding Single Cell Time Series | RNA-Seq Blog
Pseudotime Estimation – Deconfounding Single Cell Time Series | RNA-Seq Blog

Current best practices in single‐cell RNA‐seq analysis: a tutorial |  Molecular Systems Biology
Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology

Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed  Using High-Throughput Single-Cell RNA Sequencing - ScienceDirect
Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing - ScienceDirect

Uncovering pseudotemporal trajectories with covariates from single cell and  bulk expression data | Nature Communications
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data | Nature Communications

A guide to trajectory inference and RNA velocity | bioRxiv
A guide to trajectory inference and RNA velocity | bioRxiv

PhenoPath pseudotime analysis of single-cell RNA-sequencing data under... |  Download Scientific Diagram
PhenoPath pseudotime analysis of single-cell RNA-sequencing data under... | Download Scientific Diagram

15 Pseudotime Cell Trajectories | ANALYSIS OF SINGLE CELL RNA-SEQ DATA
15 Pseudotime Cell Trajectories | ANALYSIS OF SINGLE CELL RNA-SEQ DATA

Tutorials — Scanpy 1.9.1 documentation
Tutorials — Scanpy 1.9.1 documentation

The single cell pseudotime estimation problem. (A) Single cells at... |  Download Scientific Diagram
The single cell pseudotime estimation problem. (A) Single cells at... | Download Scientific Diagram

Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data  Reveals Alternative Tuft Cell Origins in the Gut: Cell Systems
Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut: Cell Systems

Single-cell RNA-Seq Trajectory Analysis Review - BioTuring's Blog
Single-cell RNA-Seq Trajectory Analysis Review - BioTuring's Blog

Pseudotime analysis in 5-plex time-course experiment. (A) Monocle... |  Download Scientific Diagram
Pseudotime analysis in 5-plex time-course experiment. (A) Monocle... | Download Scientific Diagram

Trajectory-based differential expression analysis for single-cell  sequencing data | Nature Communications
Trajectory-based differential expression analysis for single-cell sequencing data | Nature Communications

single cell - How to find differential expressed genes within pseudotime  trajectory with Seurat cluster? - Bioinformatics Stack Exchange
single cell - How to find differential expressed genes within pseudotime trajectory with Seurat cluster? - Bioinformatics Stack Exchange

Monocle
Monocle

Generalized and scalable trajectory inference in single-cell omics data  with VIA | Nature Communications
Generalized and scalable trajectory inference in single-cell omics data with VIA | Nature Communications

Single-cell transcriptome analysis reveals TOX as a promoting factor for T  cell exhaustion and a predictor for anti-PD-1 responses in human cancer |  Genome Medicine | Full Text
Single-cell transcriptome analysis reveals TOX as a promoting factor for T cell exhaustion and a predictor for anti-PD-1 responses in human cancer | Genome Medicine | Full Text

Global Dynamic Molecular Profiles of Stomatal Lineage Cell Development by  Single-Cell RNA Sequencing | bioRxiv
Global Dynamic Molecular Profiles of Stomatal Lineage Cell Development by Single-Cell RNA Sequencing | bioRxiv

pseudotime | RNA-Seq Blog
pseudotime | RNA-Seq Blog

Monocle
Monocle

PseudotimeDE: inference of differential gene expression along cell  pseudotime with well-calibrated p-values from single-cell RNA sequencing  data | bioRxiv
PseudotimeDE: inference of differential gene expression along cell pseudotime with well-calibrated p-values from single-cell RNA sequencing data | bioRxiv

Trajectory-based differential expression analysis for single-cell  sequencing data | Nature Communications
Trajectory-based differential expression analysis for single-cell sequencing data | Nature Communications