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[HTML][HTML] Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries, M Korshevniuk, C Losert… - Genome Biology, 2023 - Springer
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …
被引用次数：15 相关文章

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries… - Genome …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, D de Vries, M Korshevniuk, R Oelen… - bioRxiv, 2022 - biorxiv.org
Background Expression quantitative trait loci (eQTL) studies have shown how genetic
variants affect downstream gene expression. To identify the upstream regulatory processes …
[PDF] researchgate.net

[PDF][PDF] Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries, M Korshevniuk, C Losert… - 2023 - researchgate.net
Background: Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries, M Korshevniuk… - Genome …, 2023 - search.proquest.com
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries, M Korshevniuk… - Genome …, 2023 - research.rug.nl
Background: Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, K Schmid, D de Vries, M Korshevniuk… - Genome …, 2023 - europepmc.org
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …
[HTML] biomedcentral.com

[HTML][HTML] Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries… - Genome …, 2023 - genomebiology.biomedcentral.com
Expression quantitative trait loci (eQTL) studies show how genetic variants affect
downstream gene expression. Single-cell data allows reconstruction of personalized co …
[HTML] nih.gov

[HTML][HTML] Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, DH de Vries, M Korshevniuk… - Genome …, 2023 - ncbi.nlm.nih.gov
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …
[PDF] core.ac.uk

[PDF][PDF] Id entification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

S Li, KT Schmid, D de Vries, M Korshevniuk, HE Groot… - Context matters, 2022 - core.ac.uk
Background Expression quantitative trait loci (eQTL) studies have shown how genetic
variants affect downstream gene expression. To identify the upstream regulatory processes …