Student Workshop – Single Cell RNA Sequencing
This session was presented at the 2024 World Congress on In Vitro Biology Meeting…
Browsing: gene expression
CellTran – a statistical approach for systematic identification of transition cells from scRNA-seq data
In multicellular organisms, cells go through complex transitions, changing from one type to another or…
Single-nucleus RNA sequencing revealed specialized regions within the placenta’s multinucleated cell
During gestation, the placenta takes on the roles of many of the fetus’ developing organs…
scPair – Boosting single cell multimodal analysis by leveraging implicit feature selection and single cell atlases
Multimodal single-cell assays are revolutionizing how we study biology by allowing researchers to analyze multiple…
AI tool ‘sees’ cancer gene expression in biopsy images
Researchers used artificial intelligence to predict the activity of thousands of genes in tumors based…
Deciphering gene expression patterns using large-scale transcriptomic data
Gene expression, the process by which genes are activated to produce proteins, is a cornerstone…
ELATUS – uncovering functional lncRNAs by scRNA-seq
Long non-coding RNAs, or lncRNAs, are an important part of our genetic code, but they…
International canine gene research database accelerates biomedical research
A new database covering over 100 different canine tissues can significantly enhance our understanding of…
MST-m6A – a novel multi-scale transformer-based framework for prediction of m6A modification sites
In recent years, scientists have found that cells use small chemical “tags” on RNA molecules…
RNA Sequencing reveals shared gene expression patterns between Alzheimer’s disease and alcohol use disorder
By examining RNA in hundreds of thousands of individual brain cells, Scripps Research scientists further…