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Decon Laboratories deconvolution eqtls (decon-eqtls)
( A ) Illustration of decon-eQTL mapping. ( B ) Number of <t>decon-eQTLs</t> identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.
Deconvolution Eqtls (Decon Eqtls), supplied by Decon Laboratories, 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/result/deconvolution eqtls (decon-eqtls)/product/Decon Laboratories
Average 90 stars, based on 1 article reviews
deconvolution eqtls (decon-eqtls) - by Bioz Stars, 2026-04
90/100 stars

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1) Product Images from "Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data"

Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

Journal: Science Advances

doi: 10.1126/sciadv.adh2588

( A ) Illustration of decon-eQTL mapping. ( B ) Number of decon-eQTLs identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.
Figure Legend Snippet: ( A ) Illustration of decon-eQTL mapping. ( B ) Number of decon-eQTLs identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.

Techniques Used: Comparison

( A ) Total SCZ GWAS heritability ( h 2) explained by eQTLs. ( B ) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h 2/number of SNPs in each eQTL category.
Figure Legend Snippet: ( A ) Total SCZ GWAS heritability ( h 2) explained by eQTLs. ( B ) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h 2/number of SNPs in each eQTL category.

Techniques Used:



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Decon Laboratories deconvolution eqtls (decon-eqtls)
( A ) Illustration of decon-eQTL mapping. ( B ) Number of <t>decon-eQTLs</t> identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.
Deconvolution Eqtls (Decon Eqtls), supplied by Decon Laboratories, 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/result/deconvolution eqtls (decon-eqtls)/product/Decon Laboratories
Average 90 stars, based on 1 article reviews
deconvolution eqtls (decon-eqtls) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

90
Decon Laboratories deconvolution eqtls (decon-eqtl)
(A) Illustration of decon-eQTL mapping. (B) The number of <t>decon-eQTLs</t> identified in different cell types at FDR<0.05 in the permutation test. (C) Pi1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and (D) eQTLs from snRNAseq study (Bryois et al.). (E) Comparison of decon-eQTLs and bulk-tissue eQTLs. The top barplot shows the Pi1 values of decon-eQTLs in bulk-tissue eQTLs. The bottom plot shows the intersections between decon-eQTLs and bulk-tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.
Deconvolution Eqtls (Decon Eqtl), supplied by Decon Laboratories, 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/result/deconvolution eqtls (decon-eqtl)/product/Decon Laboratories
Average 90 stars, based on 1 article reviews
deconvolution eqtls (decon-eqtl) - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

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( A ) Illustration of decon-eQTL mapping. ( B ) Number of decon-eQTLs identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.

Journal: Science Advances

Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

doi: 10.1126/sciadv.adh2588

Figure Lengend Snippet: ( A ) Illustration of decon-eQTL mapping. ( B ) Number of decon-eQTLs identified in different cell types at FDR < 0.05 in the permutation test. ( C ) Pi 1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and ( D ) eQTLs from snRNA-seq study of Bryois et al. . For calculating Pi 1 statistics, decon-eQTLs from ROSMAP were used as testing data, and eQTLs from BrainGVEX and Bryois et al. were used as references. ( E ) Comparison of decon-eQTLs and bulk tissue eQTLs. The top barplot shows the Pi 1 values of decon-eQTLs (testing data) in bulk tissue eQTLs (reference). The bottom plot shows the intersections between decon-eQTLs and bulk tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.

Article Snippet: The cell-type eQTLs identified with deconvoluted gene expressions were named deconvolution eQTLs (decon-eQTLs).

Techniques: Comparison

( A ) Total SCZ GWAS heritability ( h 2) explained by eQTLs. ( B ) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h 2/number of SNPs in each eQTL category.

Journal: Science Advances

Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

doi: 10.1126/sciadv.adh2588

Figure Lengend Snippet: ( A ) Total SCZ GWAS heritability ( h 2) explained by eQTLs. ( B ) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h 2/number of SNPs in each eQTL category.

Article Snippet: The cell-type eQTLs identified with deconvoluted gene expressions were named deconvolution eQTLs (decon-eQTLs).

Techniques:

(A) Illustration of decon-eQTL mapping. (B) The number of decon-eQTLs identified in different cell types at FDR<0.05 in the permutation test. (C) Pi1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and (D) eQTLs from snRNAseq study (Bryois et al.). (E) Comparison of decon-eQTLs and bulk-tissue eQTLs. The top barplot shows the Pi1 values of decon-eQTLs in bulk-tissue eQTLs. The bottom plot shows the intersections between decon-eQTLs and bulk-tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.

Journal: bioRxiv

Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

doi: 10.1101/2023.03.13.532468

Figure Lengend Snippet: (A) Illustration of decon-eQTL mapping. (B) The number of decon-eQTLs identified in different cell types at FDR<0.05 in the permutation test. (C) Pi1 statistics of decon-eQTLs in BrainGVEX decon-eQTLs and (D) eQTLs from snRNAseq study (Bryois et al.). (E) Comparison of decon-eQTLs and bulk-tissue eQTLs. The top barplot shows the Pi1 values of decon-eQTLs in bulk-tissue eQTLs. The bottom plot shows the intersections between decon-eQTLs and bulk-tissue eQTLs, as well as intersections of decon-eQTLs across various cell types.

Article Snippet: The cell-type eQTLs identified with deconvoluted gene expression data were named deconvolution eQTLs (decon-eQTL).

Techniques: Comparison

(A) Total SCZ GWAS heritability (h2) explained by eQTLs. (B) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h2/number of SNPs in each eQTL category.

Journal: bioRxiv

Article Title: Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data

doi: 10.1101/2023.03.13.532468

Figure Lengend Snippet: (A) Total SCZ GWAS heritability (h2) explained by eQTLs. (B) SCZ GWAS heritability enrichment in eQTLs. Enrichment = h2/number of SNPs in each eQTL category.

Article Snippet: The cell-type eQTLs identified with deconvoluted gene expression data were named deconvolution eQTLs (decon-eQTL).

Techniques: