HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics
X Yuan, Y Ma, R Gao, S Cui, Y Wang, B Fa… - Nature …, 2024 - nature.com
Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal
characteristics of diseases and tissue structures, posing a distinctive challenge in spatial …
characteristics of diseases and tissue structures, posing a distinctive challenge in spatial …
A comprehensive review of approaches for spatial domain recognition of spatial transcriptomes
In current bioinformatics research, spatial transcriptomics (ST) as a rapidly evolving
technology is gradually receiving widespread attention from researchers. Spatial domains …
technology is gradually receiving widespread attention from researchers. Spatial domains …
[PDF][PDF] ST-SCSR: identifying spatial domains in spatial transcriptomics data via structure correlation and self-representation
M Zhang, W Zhang, X Ma - Briefings in Bioinformatics, 2024 - academic.oup.com
Recent advances in spatial transcriptomics (ST) enable measurements of transcriptome
within intact biological tissues by preserving spatial information, offering biologists …
within intact biological tissues by preserving spatial information, offering biologists …
Cell-specific priors rescue differential gene expression in spatial spot-based technologies
O Nahman, TJ Few-Cooper… - Briefings in …, 2025 - academic.oup.com
Spatial transcriptomics (ST), a breakthrough technology, captures the complex structure and
state of tissues through the spatial profiling of gene expression. A variety of ST technologies …
state of tissues through the spatial profiling of gene expression. A variety of ST technologies …
Categorization of 31 computational methods to detect spatially variable genes from spatially resolved transcriptomics data
In the analysis of spatially resolved transcriptomics data, detecting spatially variable genes
(SVGs) is crucial. Numerous computational methods exist, but varying SVG definitions and …
(SVGs) is crucial. Numerous computational methods exist, but varying SVG definitions and …
Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics
The rapid development of spatial transcriptomics has underscored the importance of
identifying spatially variable genes. As a fundamental task in spatial transcriptomic data …
identifying spatially variable genes. As a fundamental task in spatial transcriptomic data …
[PDF][PDF] Deep Learning-Enabled Integration of Histology and Transcriptomics for Analyzing Single-Cell Spatial Profiles
Y Ge, J Leng, Z Tang, K Wang, KU, SM Zhang, S Han… - Research - spj.science.org
Spatially resolved transcriptomics have enabled comprehensive measurement of gene
expression patterns at subcellular resolution while preserving spatial context information …
expression patterns at subcellular resolution while preserving spatial context information …
Supervised Analysis of Alternative Polyadenylation from Single-Cell and Spatial Transcriptomics Data with spvAPA
Q Zhang, L Kang, H Yang, F Liu, X Wu - Available at SSRN 4881943 - papers.ssrn.com
Alternative polyadenylation (APA) is an essential post-transcriptional modification for
regulating gene expression and contributes greatly to the complexity of transcriptome and …
regulating gene expression and contributes greatly to the complexity of transcriptome and …
[引用][C] DAIS: a method for identifying spatial domains based on density clustering of spatial omics data.
DAIS: a method for identifying spatial domains based on density clustering of spatial omics
data. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu …
data. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu …