ReviewNeuroinformatics2007
Sharing and reusing gene expression profiling data in neuroscience.
Review in Neuroinformatics, 2007. 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.
- Reanalysis and integration of public microarray datasets reveals novel host genes modulated in leprosy.Molecular genetics and genomics : MGG · 2020Article
- Article
- Recommendations for the collection and use of multiplexed functional data for clinical variant interpretation.Genome medicine · 2019Article
- BgeeDB, an R package for retrieval of curated expression datasets and for gene list expression localization enrichment tests.F1000Research · 2016Article
- Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2015Review
- Data reuse and the open data citation advantage.PeerJ · 2013Article
- Data publishing and scientific journals: the future of the scientific paper in a world of shared data.Neuroinformatics · 2010Review
Corrections and comments
- Commented on by
Authors and funding
2 authors.
Funding
Abstract
As public availability of gene expression profiling data increases, it is natural to ask how these data can be used by neuroscientists. Here we review the public availability of high-throughput expression data in neuroscience and how it has been reused, and tools that have been developed to facilitate reuse. There is increasing interest in making expression data reuse a routine part of the neuroscience tool-kit, but there are a number of challenges. Data must become more readily available in public databases; efforts to encourage investigators to make data available are important, as is education on the benefits of public data release. Once released, data must be better-annotated. Techniques and tools for data reuse are also in need of improvement. Integration of expression profiling data with neuroscience-specific resources such as anatomical atlases will further increase the value of expression data.
Indexed as
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.