Memento – method of moments framework for differential expression analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) is a powerful technique that allows scientists to study how genes…
Browsing: Analysis Pipelines
scCaT – an explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing
Sepsis is a serious medical condition that occurs when the body has an extreme response…
SELF-Former – multi-scale gene filtration transformer for single-cell spatial reconstruction
Scientists have developed incredible tools to study how genes are expressed in individual cells, giving…
scCTS – identifying the cell type-specific marker genes from population-level single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) is an exciting tool in biology that lets researchers dive deep…
McGill researchers introduce a scalable, cost-effective solution for single-cell profiling
An innovative computational tool, scSemiProfiler, makes powerful single-cell sequencing technology more accessible…
spacedeconv – deconvolution of tissue architecture from spatial transcriptomics
Understanding how tissues function is key to learning about both health and disease. Tissues are…
ScRNAbox – empowering single-cell RNA sequencing on high performance computing systems
Single-cell RNA sequencing (scRNAseq) has transformed biology by allowing scientists to study the gene expression…
BigSur – leveraging gene correlations in single cell transcriptomic data
Scientists are using single-cell RNA sequencing (scRNAseq) to push the boundaries of what we can…
pathlinkR – analyze and interpret RNA-Seq results
RNA sequencing (RNA-Seq) is a powerful technique that helps researchers study gene expression, giving them…
scCM – self-supervised contrastive learning method for integrating large-scale CNS scRNA-seq data
The central nervous system (CNS) is incredibly complex, made up of many different types of…