ArticleScientific data2020
Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients.
Article in Scientific data, 2020. 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.
- Drug repositioning in metastatic prostate cancer based on protein- protein interaction network: Computational and in vitro analysis.Biochemistry and biophysics reports · 2026Article
- Using semantic search to find publicly available gene-expression datasets.Bioinformatics (Oxford, England) · 2026Article
- MUUMI: an R package for statistical and network-based meta-analysis for multi-omics data integration.BMC bioinformatics · 2026Article
- Curated and harmonised transcriptomics datasets of interstitial lung diseases.Data in brief · 2025Article
- Sphingolipid metabolism orchestrates establishment of the hair follicle stem cell compartment.The Journal of cell biology · 2025Article
- COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms.PLoS computational biology · 2024Article
- Integrative network analysis suggests prioritised drugs for atopic dermatitis.Journal of translational medicine · 2024Article
- DREAM: an R package for druggability evaluation of human complex diseases.Bioinformatics (Oxford, England) · 2023Article
- Multi-omics integration reveals a core network involved in host defence and hyperkeratinization in psoriasis.Clinical and translational medicine · 2022Article
- The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis.Human genomics · 2022Article
- Federated horizontally partitioned principal component analysis for biomedical applications.Bioinformatics advances · 2022Article
- Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach.Frontiers in immunology · 2022Article
- Nextcast: A software suite to analyse and model toxicogenomics data.Computational and structural biotechnology journal · 2022Article
- Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients.Scientific data · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present manually curated transcriptomics data of psoriasis and atopic dermatitis patients retrieved from the NCBI Gene Expression Omnibus and EBI ArrayExpress repositories. We collected 39 transcriptomics datasets, deriving from DNA microarrays and RNA-Sequencing technologies, for a total of 1677 samples. We provide quality-checked, homogenised and preprocessed gene expression matrices and their corresponding metadata tables along with the estimated surrogate variables. These data represent a ready-made valuable source of knowledge for translational researchers in the dermatology field.
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.