microarray chip illuminahumanmethyalation450 beadchip (450k array) (Illumina Inc)
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Illumina Inc
microarray chip illuminahumanmethyalation450 beadchip (450k array)
Microarray Chip Illuminahumanmethyalation450 Beadchip (450k Array), 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/450k+microarray+chips/450k+epic+dnam+dataset/us11795495-62-15-10
Average 90 stars, based on 1 article reviews
Microarray Chip Illuminahumanmethyalation450 Beadchip (450k Array), 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/450k+microarray+chips/450k+epic+dnam+dataset/us11795495-62-15-10
Average 90 stars, based on 1 article reviews
microarray chip illuminahumanmethyalation450 beadchip (450k array) - by Bioz Stars,
2026-09
90/100 stars
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DNA Methylation Assay:Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age. Article Snippet: We focused on an Article Title: A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue. Article Snippet: We utilized the following lists of DNA methylation data sets generated on purified cells pools from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and the EMBL’s European Bioinformatics Institute (https://www.ebi.ac.uk) listed below to generate in-silico mixtures: • Illumina 450k data of 6 epithelial and 10 fibroblast cell lines [13] (GSE31848) • Illumina 450k data of 28 monocytes, 71 CD4T cells, and 8 Bcells [14] (GSE59250) • Illumina 450k data of 6 CD4T cells, 4 B-cells, and 5 monocytes [15] (GSE71244) • Illumina 450k data of 8 Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Generated:Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age. Article Snippet: We focused on an Article Title: A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue. Article Snippet: We utilized the following lists of DNA methylation data sets generated on purified cells pools from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and the EMBL’s European Bioinformatics Institute (https://www.ebi.ac.uk) listed below to generate in-silico mixtures: • Illumina 450k data of 6 epithelial and 10 fibroblast cell lines [13] (GSE31848) • Illumina 450k data of 28 monocytes, 71 CD4T cells, and 8 Bcells [14] (GSE59250) • Illumina 450k data of 6 CD4T cells, 4 B-cells, and 5 monocytes [15] (GSE71244) • Illumina 450k data of 8 Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Purification:Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age. Article Snippet: We focused on an Article Title: A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue. Article Snippet: We utilized the following lists of DNA methylation data sets generated on purified cells pools from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and the EMBL’s European Bioinformatics Institute (https://www.ebi.ac.uk) listed below to generate in-silico mixtures: • Illumina 450k data of 6 epithelial and 10 fibroblast cell lines [13] (GSE31848) • Illumina 450k data of 28 monocytes, 71 CD4T cells, and 8 Bcells [14] (GSE59250) • Illumina 450k data of 6 CD4T cells, 4 B-cells, and 5 monocytes [15] (GSE71244) • Illumina 450k data of 8 Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Gene Expression:Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age. Article Snippet: We focused on an Article Title: A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue. Article Snippet: We utilized the following lists of DNA methylation data sets generated on purified cells pools from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and the EMBL’s European Bioinformatics Institute (https://www.ebi.ac.uk) listed below to generate in-silico mixtures: • Illumina 450k data of 6 epithelial and 10 fibroblast cell lines [13] (GSE31848) • Illumina 450k data of 28 monocytes, 71 CD4T cells, and 8 Bcells [14] (GSE59250) • Illumina 450k data of 6 CD4T cells, 4 B-cells, and 5 monocytes [15] (GSE71244) • Illumina 450k data of 8 Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Methylation:Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age. Article Snippet: We focused on an Article Title: A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue. Article Snippet: We utilized the following lists of DNA methylation data sets generated on purified cells pools from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo) and the EMBL’s European Bioinformatics Institute (https://www.ebi.ac.uk) listed below to generate in-silico mixtures: • Illumina 450k data of 6 epithelial and 10 fibroblast cell lines [13] (GSE31848) • Illumina 450k data of 28 monocytes, 71 CD4T cells, and 8 Bcells [14] (GSE59250) • Illumina 450k data of 6 CD4T cells, 4 B-cells, and 5 monocytes [15] (GSE71244) • Illumina 450k data of 8 Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an Article Title: Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age Article Snippet: We focused on an |
