ReviewImmunology and cell biology2016
Processing, visualising and reconstructing network models from single-cell data.
Review in Immunology and cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed, 19 citations in OpenAlex.
- Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data.BMC bioinformatics · 2018Article
- Regulatory network characterization in development: challenges and opportunities.F1000Research · 2018Review
- Reverse-engineering of gene networks for regulating early blood development from single-cell measurements.BMC medical genomics · 2017Article
- Mammalian Transcription Factor Networks: Recent Advances in Interrogating Biological Complexity.Cell systems · 2017Review
- SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation.Bioinformatics (Oxford, England) · 2017Article
- SCENERY: a web application for (causal) network reconstruction from cytometry data.Nucleic acids research · 2017Article
- Reconstructing blood stem cell regulatory network models from single-cell molecular profiles.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Unperturbed vs. post-transplantation hematopoiesis: both in vivo but different.Current opinion in hematology · 2016Review
- Cutting-edge single-cell genomics and modelling in immunology.Immunology and cell biology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
Abstract
New single-cell technologies readily permit gene expression profiling of thousands of cells at single-cell resolution. In this review, we will discuss methods for visualisation and interpretation of single-cell gene expression data, and the computational analysis needed to go from raw data to predictive executable models of gene regulatory network function. We will focus primarily on single-cell real-time quantitative PCR and RNA-sequencing data, but much of what we cover will also be relevant to other platforms, such as the mass cytometry technology for high-dimensional single-cell proteomics.
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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.