Scientists map single-cell spatial distribution atlas of macaque cortex
A team of nearly 100 scientists recently mapped the cell-type taxonomy in the macaque cortex and revealed…
Browsing: Publications
MeDuSA – mixed model-based deconvolution of cell-state abundances along a one-dimensional trajectory
Deconvoluting cell-state abundances from bulk RNA-sequencing data can add considerable value to existing data, but…
Largest single-cell RNA sequencing study of gastric adenocarcinoma to date provides novel insights into gastric cancer
MD Anderson study offers deeper understanding of gastric cancer progression and identifies potential therapeutic target…
scNanoGPS – high throughput single cell long-read sequencing analyses of same-cell genotypes and phenotypes in human tumors
Single-cell nanopore sequencing of full-length mRNAs transforms single-cell multi-omics studies. However, challenges include high sequencing…
RNAseqChef – a web-based integrative transcriptome analysis to automatically detect, integrate, and visualize differentially expressed genes and their biological functions
RNA sequencing (RNA-seq) is a powerful technique for understanding cellular state and dynamics. However, comprehensive…
A cellular and molecular spatial atlas of dystrophic muscle
Asynchronous skeletal muscle degeneration/regeneration is a hallmark feature of Duchenne muscular dystrophy (DMD); however, traditional…
Combining single-cell and bulk RNA sequencing reveals monocyte content linked to esophageal cancer outcomes
A Ludwig Cancer Research study has discovered that the presence of relatively high numbers of…
Single-cell multi-gene identification of somatic mutations and gene rearrangements in cancer
In this proof-of-concept study, researchers from the Stanford University School of Medicine have developed a…
Novel algorithm able to detect mutations in single-cell sequencing data sets
Being able to characterise somatic mutations at single-cell resolution is essential for understanding cancer evolution…
scGPT – towards building a foundation model for single-cell multi-omics using generative AI
Generative pre-trained models have achieved remarkable success in various domains such as natural language processing…