epic microarray dna methylation dataset (Illumina Inc)
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Epic Microarray Dna Methylation Dataset, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/epic+microarray+dna+methylation+dataset/pmc11633140-134-25-28?v=Illumina+Inc
Average 90 stars, based on 1 article reviews
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1) Product Images from "Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies"
Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies
Journal: Epigenetics
doi: 10.1080/15592294.2024.2437275
Figure Legend Snippet: Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.
Techniques Used: DNA Methylation Assay
Figure Legend Snippet: Analytic table of DNA methylation samples used for deconvolution reference.
Techniques Used: DNA Methylation Assay, Fluorescence
Figure Legend Snippet: Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.
Techniques Used: DNA Methylation Assay
Figure Legend Snippet: Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.
Techniques Used: Methylation, DNA Methylation Assay
Figure Legend Snippet: Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.
Techniques Used: DNA Methylation Assay, Biomarker Discovery