ArticleExperimental and therapeutic medicine2019
Bioinformatics identification of potential genes and pathways in preeclampsia based on functional gene set enrichment analyses.
Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Aligned deep neural network for integrative analysis with high-dimensional input.Journal of biomedical informatics · 2023Article
- A cross-sectional analysis of syncytiotrophoblast membrane extracellular vesicles-derived transcriptomic biomarkers in early-onset preeclampsia.Frontiers in cardiovascular medicine · 2023Article
- Identifying preeclampsia-associated genes using a control theory method.Briefings in functional genomics · 2022Article
- Potential biomarkers and molecular mechanisms in preeclampsia progression.Open life sciences · 2022Article
- Immune cell infiltration landscape and immune marker molecular typing in preeclampsia.Bioengineered · 2021Article
- Epigenetic Profiles Reveal That ADCYAP1 Serves as Key Molecule in Gestational Diabetes Mellitus.Computational and mathematical methods in medicine · 2019Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia is a complication of pregnancy characterized by new-onset hypertension and proteinuria of gestation, with serious consequences for mother and infant. Although a vast amount of research has been performed on the pathogenesis of preeclampsia, the underlying mechanisms of this multisystemic disease have remained to be fully elucidated. Data were retrieved from Gene Expression Omnibus database GSE40182 dataset. After data preprocessing, differentially expressed genes of placental cells cultured
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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.