ArticleNature reviews. Genetics2019
Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq data.
Article in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Multimodal atlas of single neuron metabolic electrophysiological coupling uncovers circadian rewiring.iScience · 2026Article
- Interpretable Multi-task Analysis of Single-Cell RNA-seq Data Through Topological Structure Preservation and Data Denoising.Interdisciplinary sciences, computational life sciences · 2026Article
- Macrophage PRMT9 Ameliorates Acute Myocardial Infarction by Promoting Symmetric Dimethylation and Degradation of STAT1.Circulation · 2026Article
- Article
- scLENS: data-driven signal detection for unbiased scRNA-seq data analysis.Nature communications · 2024Article
- A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study.Briefings in bioinformatics · 2023Article
- NRTPredictor: identifying rice root cell state in single-cell RNA-seq via ensemble learning.Plant methods · 2023Article
- singleCellBase: a high-quality manually curated database of cell markers for single cell annotation across multiple species.Biomarker research · 2023Article
- Biophysically Interpretable Inference of Cell Types from Multimodal Sequencing Data.bioRxiv : the preprint server for biology · 2023Article
- Marker-free characterization of full-length transcriptomes of single live circulating tumor cells.Genome research · 2023Article
- Behavioral Neuroscience in the Era of Genomics: Tools and Lessons for Analyzing High-Dimensional Datasets.International journal of molecular sciences · 2022Review
- Hypercluster: a flexible tool for parallelized unsupervised clustering optimization.BMC bioinformatics · 2020Article
- Addressing variability in iPSC-derived models of human disease: guidelines to promote reproducibility.Disease models & mechanisms · 2020Review
- Optimizing biological inferences from single-cell data.Nature reviews. Genetics · 2019Article
Corrections and comments
- Erratum for
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During typesetting of this article, errors were inadvertently introduced to the hyperlinked URLs of some of the clustering tools in table 1 (Seurat, CIDR, pcaReduce and mpath), as well as to the numbering of the bold-text annotations in the reference list. The article has now been corrected online. The editors apologize for this error.
Identifiers
30670832What 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.