Research on gastrointestinal diseases, especially cancer, has mainly looked at the epithelial cells, which line the surfaces of organs, are important for various functions, and are believed to be the ...

Top-down proteomics: Intact proteins are ionized and analyzed directly, allowing for the study of proteoforms and ...

In this paper, we propose an efficient video desnowing spatio-temporal Transformer, which utilizes spatio-temporal sequence attention to parallelly capture intra-frame spatial information ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of ...

EcoNicheS: enhancing ecological niche modeling, niche overlap and connectivity analysis using shiny dashboard and R Package . This is Version 1.0.0, and subsequent versions will be uploaded with ...

Methods: A new Treg signature, Treg.Sig, was created using a computational framework guided by machine learning, utilizing transcriptome data from both single-cell RNA-sequencing (scRNA-seq) and bulk ...

The field of spatial transcriptomics ... “The sequencing-based methods analyze all genes and serve well to provide an unbiased view of tissue ecosystem,” Lundeberg explained. “The hybridization-based ...