ArticleGenome biology2022
scSTEM: clustering pseudotime ordered single-cell data.
Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Cell-type-specific dysregulation of gene expression due to Chd8 haploinsufficiency during mouse cortical development.Cell genomics · 2025Article
- Single-cell stimulus-response gene expression trajectories reveal the stimulus specificities of dynamic responses by single macrophages.Molecular cell · 2024Article
- scSemiProfiler: Advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning.Nature communications · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.Science (New York, N.Y.) · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024Article
- Review
- CellTracer: a comprehensive database to dissect the causative multilevel interplay contributing to cell development trajectories.Nucleic acids research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
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 .
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.