.png){kind=icon}
Return
scSTEM: clustering pseudotime ordered single-cell data
.png){kind=icon}
OA
AI
DOI：10.1186/s13059-022-02716-9.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We develop scSTEM, single-cell STEM, a method for clustering dynamic profiles of genes in trajectories inferred from pseudotime ordering of single-cell RNA-seq (scRNA-seq) data. scSTEM uses one of several metrics to summarize the expression of genes and assigns a p-value to clusters enabling the identification of significant profiles and comparison of profiles across different paths. Application of scSTEM to several scRNA-seq datasets demonstrates its usefulness and ability to improve downstream analysis of biological processes. scSTEM is available at https://github.com/alexQiSong/scSTEM.
Keywords:
Single cell
Genomics
Gene clustering
Visualization
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
G
IF:
9.4
Papers:
6.4K
Citations:
7.3W
Organization
Cited Papers
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics.png)
BMC GENOMICSOAAI
BMC GENOMICSIF3.7
OAAIShareSaveShareSaveGranzyme M has a critical role in providing innate immune protection in ulcerative colitisCELL DEATH & DISEASEOAAI
CELL DEATH & DISEASEIF9.6
OAAIShareSaveTradeoffs between Dense and Replicate Sampling Strategies for High-Throughput Time Series ExperimentsCELL SYSTEMSOAAI
CELL SYSTEMSIF7.7
OAAIShareSaveShareSaveShareSaveTrajectory-based differential expression analysis for single-cell sequencing dataNATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSaveReconstructed Single-Cell Fate Trajectories Define Lineage Plasticity Windows during Differentiation of Human PSC-Derived Distal Lung ProgenitorsCELL STEM CELLOAAI
CELL STEM CELLIF20.4
OAAIShareSaveShareSave
View more