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2 months ago | 
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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Jan 8, 2025 | 
nature.com | Mohammad Haeri |Xiang Zhou |Lindong Jiang |Yi-Ping Phoebe Chen |Xiaoxin Yan |Russell H. Swerdlow | +1 more
AbstractAging increases the risk for Alzheimer’s disease (AD), driving pathological changes like amyloid-β (Aβ) buildup, inflammation, and oxidative stress, especially in the prefrontal cortex (PFC). We present the first subcellular-resolution spatial transcriptome atlas of the human prefrontal cortex (PFC), generated with Stereo-seq from six male AD cases at varying neuropathological stages and six age-matched male controls.
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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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Oct 3, 2024 | 
journals.plos.org | Xiang Zhou |Rui Chen
Loading metrics Open Access Peer-reviewedResearch Article ? This is an uncorrected proof. Citation: Li Y, Zhou X, Chen R, Zhang X, Cao H (2024) STAREG: Statistical replicability analysis of high throughput experiments with applications to spatial transcriptomic studies. PLoS Genet 20(10): e1011423.
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Sep 25, 2024 | 
biorxiv.org | Jade Wang |Xiang Zhou
AbstractSpatial transcriptomic technologies are becoming increasingly high-resolution, enabling precise measurement of gene expression at the subcellular level. Here, we introduce a computational method called subcellular expression localization analysis (ELLA), for modeling the subcellular localization of mRNAs and detecting genes that display spatial variation within cells in high-resolution spatial transcriptomics.
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Sep 25, 2024 | 
link.aps.org | Baoxin Liu |Zhenyu Zhang |Xiang Zhou
For the first time, the exact analytic integration of the product between the Kuraev-Fadin radiative function and the Born-level cross section has been achieved for e+e− annihilation near a narrow resonance. The analytic result is in a perfect agreement with the one obtained through direct numerical integration. The extraction of resonance parameters is demonstrated through the unfolding of the initial state radiation effect.
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Aug 6, 2024 | 
mdpi.com | Xiwen Zhang |Bin Xu |Huiqin Zhou |Xiang Zhou
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Jun 26, 2024 | 
nature.com | Lu O. Sun |Xiang Zhou |Jie Yang
AbstractA long-standing but poorly tested hypothesis in plant ecology and evolution is that biotic interactions play a more important role in producing and maintaining species diversity in the tropics than in the temperate zone. A core prediction of this hypothesis is that tropical plants deploy a higher diversity of phytochemicals within and across communities because they experience more herbivore pressure than temperate plants.
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Jun 6, 2024 | 
nature.com | Ying Ma |Xiang Zhou
AbstractSpatially resolved transcriptomics (SRT) studies are becoming increasingly common and large, offering unprecedented opportunities in mapping complex tissue structures and functions. Here we present integrative and reference-informed tissue segmentation (IRIS), a computational method designed to characterize tissue spatial organization in SRT studies through accurately and efficiently detecting spatial domains.
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Apr 26, 2024 | 
dialnet.unirioja.es | Xiang Zhou
Financial risk assessment management of state-owned enterprises based on cloud accounting in the era of big dataAutores: Xiang ZhouLocalización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 9, Nº.
