Mining single cell transcriptomes for antibody gold
We often hold it to be self-evident that antibodies are key to an effective immune…
Browsing: Publications
SURGE – uncovering context-specific genetic-regulation of gene expression from single-cell RNA sequencing using latent-factor models
Genetic regulation of gene expression is a complex process, with genetic effects known to vary…
New approach to single-cell RNA structure sequencing unveils biomarkers for human development and disease
Researchers from A*STAR’s Genome Institute of Singapore (GIS) have found an innovative approach to sequencing…
FindAdapt – A python package for fast and accurate adapter detection in small RNA sequencing
Adapter trimming is an essential step for analyzing small RNA sequencing data, where reads are…
scFed – federated learning for cell type classification with scRNA-seq
The advent of single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity and…
Cellograph – a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks
With the growing number of single-cell datasets collected under more complex experimental conditions, there is…
Single-cell analysis of stromal cells may help predict prostate cancer metastasis
Non-cancerous cells called stromal cells, which are found in and around prostate tumors, may be…
KARR-seq reveals cellular higher-order RNA structures and RNA–RNA interactions
RNA fate and function are affected by their structures and interactomes. However, how RNA and…
STIGMA – Single-cell tissue-specific gene prioritization using machine learning
Clinical exome and genome sequencing have revolutionized the understanding of human disease genetics. Yet many…
scSNV-seq – high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics
CRISPR screens with single-cell transcriptomic readouts are a valuable tool to understand the effect of…