Related Experiment Video
Updated: Sep 11, 2025

09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
5.0K
Winnow-KAN: single-cell RNA-seq location recovery with small-gene-set spatial transcriptomics
1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
BMC Bioinformatics
|August 13, 2025
Summary
No abstract available in PubMed .
Keywords:
Cell mappingDeep learningKolmogorov-Arnold networkSingle-cell RNA-seqSpatial transcriptomicsMore Related Videos
Related Concept Videos
RNA-seq
10.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K
DNA Microarrays
18.4K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
18.4K

