Commentary: A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines.

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

3 citing papers in PubMed.

1. Temporal progress of gene expression analysis with RNA-Seq data: A review on the relationship between computational methods.Computational and structural biotechnology journal · 2023
   Review
2. Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data.BMC bioinformatics · 2021
   Article
3. Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq.Journal of translational genetics and genomics · 2021
   Article

Corrections and comments

• Comment on
  A systematic evaluation of single cell RNA-seq analysis pipelines.2019

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as