
Lulu Shang
Articles
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Mar 9, 2025 |
mdpi.com | Zheng Li |Lulu Shang |Scott Ratliff |Dima L. Chaar
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jan 25, 2025 |
nature.com | Lulu Shang |Xiang Zhou
AbstractAn essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)—a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types.
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Oct 17, 2024 |
digitalcommons.library.tmc.edu | Lulu Shang |Wei Zhao |Yi Wang |Zheng Li
AbstractIdentifying genetic variants that are associated with variation in DNA methylation, an analysis commonly referred to as methylation quantitative trait locus (meQTL) mapping, is an important first step towards understanding the genetic architecture underlying epigenetic variation. Most existing meQTL mapping studies have focused on individuals of European ancestry and are underrepresented in other populations, with a particular absence of large studies in populations with African ancestry.
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Oct 17, 2024 |
digitalcommons.library.tmc.edu | Lulu Shang |Xiang Zhou
AbstractSpatial transcriptomics are a collection of genomic technologies that have enabled transcriptomic profiling on tissues with spatial localization information. Analyzing spatial transcriptomic data is computationally challenging, as the data collected from various spatial transcriptomic technologies are often noisy and display substantial spatial correlation across tissue locations.
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May 11, 2023 |
nature.com | Lulu Shang |Wei Zhao |Yi Wang |Zheng Li |Jennifer Smith
GENOA studyThe Genetic Epidemiology Network of Arteriopathy (GENOA) study is a community-based study of hypertensive sibships that was designed to investigate the genetics of hypertension and target organ damage. The study includes African Americans (AA) from Jackson.
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