CHOIR improves significance-based detection of cell types and states from single-cell data
Single-cell technologies, like single-cell RNA sequencing (scRNA-seq), have become essential for exploring the complexity of…
Browsing: Cell Type Analysis
New machine learning tool enhances cancer detection in single-cell RNA sequencing
Cancer is a complex disease, and even within a single tumor, not all cells are…
scPAS – single-cell phenotype-associated subpopulation identifier
Recent advancements in single-cell sequencing have allowed scientists to explore the complexity of tissues by…
Aventa FusionPlus test that detects gene fusions, translocations, and rearrangements receives favorable pricing determination from CMS
Aventa™ Genomics, LLC, a clinical laboratory deploying 3D genomics to improve patient outcomes, and a…
WLGG – identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty
Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for exploring the diversity of cell…
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…
meK-means – biophysically interpretable inference of cell types from multimodal sequencing data
When scientists study cells, they often focus on how genes are turned on and off,…
RNA sequencing and the BEYOND model together provide the key to unlocking the complex cellular landscape of the aging brain
Alzheimer’s disease (AD) has long been linked to changes in the brain, but the exact…
scDist – robust identification of perturbed cell types in single-cell RNA-seq data
Single-cell transcriptomics is a powerful technique that allows scientists to study how individual cells behave…
Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA sequencing
Researchers at the Imperial College London have developed a new model that helps us understand…