Population-level integration of single-cell datasets enables multi-scale analysis across samples
The increasing amount of data recorded in medical research can only lead to scientific breakthroughs…
Browsing: Publications
Bulk and single-cell RNA-seq data reveal what potentially causes a leukemia to become more aggressive
Scientists with City of Hope®, one of the largest cancer research and treatment organizations in…
DAESC – differential allelic expression using single-cell data
Differential allele-specific expression (ASE) is a powerful tool to study context-specific cis-regulation of gene expression.…
FWP – feature-weight based measurement of cancerous transcriptome using cohort-wide and sample-specific information
Identifying cancerous samples or cells using transcriptomic data is critical for cancer related basic research,…
Single-cell transcriptomic atlas reveals correlates of high cognitive function, dementia, and resilience to Alzheimer’s disease pathology
Alzheimer’s disease (AD) is the most common cause of dementia worldwide, but the molecular and…
DeepCCI – a deep learning framework for identifying cell–cell interactions from single-cell RNA sequencing data
Cell-cell interactions (CCIs) play critical roles in many biological processes such as cellular differentiation, tissue…
Deciphering RNA splicing logic with interpretable machine learning
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach…
STREAK – A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring
The accurate estimation of cell surface receptor abundance for single cell transcriptomics data is important…
New technique could help make precision medicine more widely available
Simple CUT&Tag adaptation gives information about genetic regulatory elements in formalin-fixed tumor samples Formalin-fixed, paraffin-embedded…
INVADEseq – invasion adhesion directed expression sequencing
Single-cell RNA sequencing (scRNAseq) technologies have been beneficial in revealing and describing cellular heterogeneity within…