dna methylation microarrays 450k (INFINIUM Inc)
90
Structured Review
INFINIUM Inc
dna methylation microarrays 450k
Dna Methylation Microarrays 450k, supplied by INFINIUM 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/methylation+microarray+platform+illumina+27k+array/infinium+humanmethylation450+beadchip/pmc06419383-115-3-2
Average 90 stars, based on 1 article reviews
Dna Methylation Microarrays 450k, supplied by INFINIUM 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/methylation+microarray+platform+illumina+27k+array/infinium+humanmethylation450+beadchip/pmc06419383-115-3-2
Average 90 stars, based on 1 article reviews
dna methylation microarrays 450k - by Bioz Stars,
2026-11
90/100 stars
Images
1) Product Images from "RnBeads 2.0: comprehensive analysis of DNA methylation data"
Article Title: RnBeads 2.0: comprehensive analysis of DNA methylation data
Journal: Genome Biology
doi: 10.1186/s13059-019-1664-9
Figure Legend Snippet: Analysis of a large DNA methylation dataset of blood samples profiled using Infinium 450k. a Scatterplot showing the correlation between epigenetic age predicted from DNA methylation and reported chronological age for 729 healthy donors (three individuals were excluded because no chronological age was reported). b Positioning of the samples in two-dimensional space for sex prediction. c Statistical association between principal components (columns) and sample annotations (rows). Significant associations with p values below 0.01 are marked by filled circles, while non-significant values are represented as empty circles. d Principal component analysis for 792 blood-based DNA methylation profiles, comprising 732 peripheral blood samples and 60 sorted blood cell populations, using the same principal components as in panel c . Immune cell content was estimated using the LUMP algorithm. e Scatterplot showing the negative correlation between chronological age and the estimated fraction of CD4 + T cells
Techniques Used: DNA Methylation Assay
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