Analysis of Spatially Resolved

Comparative Analysis of Packages and Algorithms for the ... - arXiv

Abstract:The technology to generate Spatially Resolved Transcriptomics (SRT) data is rapidly being improved and applied to investigate a ...

Computational elucidation of spatial gene expression variation from ...

Recent advances in spatially resolved transcriptomics (SRT) have revolutionized biological and medical research and enabled unprecedented ...

Image and Data Analysis for Spatially Resolved Transcriptomics

With the term spatially resolved transcriptomics is defined the study of gene expression in relation to its physical spatial context. in the study of cellular.

Statistical analysis of spatial expression patterns for spatially ...

Identifying genes that display spatial expression patterns in spatially resolved transcriptomic studies is an important first step toward characterizing the ...

Efficient reliability analysis of spatially resolved transcriptomics at ...

Through comprehensive evaluation over a collection of SRT datasets generated by different platforms at various resolutions, SpaSEG shows superior reliability ...

Bioinformatics approach to spatially resolved transcriptomics - OUCI

On the other hand, analysis of spatially resolved data is burdened by several specific challenges. Defining regions of interest, e.g. neoplastic tissue ...

Spatially resolved transcriptomics: An introductory overview of ...

Technological advancements in the 1990s and early 2000s lead to a boom in new transcriptomics methodologies and spatial analysis software (4).

A spatially-resolved, single-cell analysis of COVID-19 mucosa

"A spatially-resolved, single-cell analysis of human olfactory cleft mucosa highlights the transcriptional dysregulation in sustentacular cells with ...

Spatially resolved transcriptomics and its applications. Spatially...

... spatially resolved transcriptomics data analysis include: 1) spatial clustering; 2) spatially variable gene detection; 3) cell-type deconvolution; 4 ...

FridleyLab/spatialGE: Methods for visualization and ... - GitHub

An R package for the visualization and analysis of spatially-resolved transcriptomics data, such as those generated with 10X Visium.

Spatially Resolved Gene Expression Analysis - DiVA portal

Spatially resolved transcriptomics has greatly expanded our knowledge of complex multicellular biological systems. To date, several technologies ...

Comparative Analysis of Packages and Algorithms for ... - SpringerLink

The technology to generate Spatially Resolved Transcriptomics (SRT) data is rapidly being improved and applied to investigate a variety of ...

Statistical analysis of spatial expression pattern for spatially resolved ...

We developed a statistical method, SPARK, for identifying such spatially expressed genes in data generated from various spatially resolved transcriptomic ...

Spatially resolved transcriptomics: advances and applications

Omics technologies, which provide a comprehensive, global assessment of a set of molecules, 1 offer a novel approach for the study of biological activity in ...

What determines the spatial resolution of a study?

The resolution of the results of a given study is actually defined by the coarsest dataset that the study uses (not the finest).

Spatially Resolved Single-Cell Omics: Methods, Challenges, and ...

RNA-ISH spatial omics assays enable the analysis of the transcriptome, but not its entirety, by overlaying gene expression data across a tissue ...

Subcellular spatially resolved gene neighborhood networks in ...

SUMMARY. Image-based spatial omics methods such as fluorescence in situ hybridization (FISH) generate molecular.

Statistical analysis of spatial expression patterns for spatially ... - OUCI

Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S. & Zhuang, X. RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science ...

Spatially-resolved transcriptomics analysis with R/Bioconductor and ...

From R/Medicine Conference 2022 Leonardo Collado-Torres, Ph.D. is an Investigator at the Lieber Institute for Brain Development Main ...

Statistical and machine learning methods for spatially resolved ...

In this review, we will focus on the statistical and machine learning aspects for SRT data analysis and discuss how spatial location and histology information ...