Lulu Shang

Mar 9, 2025 | mdpi.com | Zheng Li |Lulu Shang |Scott Ratliff |Dima L. Chaar

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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.

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.

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.