DEHOGT – differentially expressed heterogeneous overdispersion genes testing for count data
RNA sequencing (RNA-seq) is a powerful tool in biology that helps researchers understand how genes…
Browsing: Expression and Quantification
STGAT – integrating spatial transcriptomics and bulk RNA-seq to predict gene expression with enhanced resolution
In cancer research, understanding how genes are expressed spatially within tumor tissues is crucial for…
PARE – a framework for removal of confounding effects from any distance-based dimension reduction method
Imagine you have a complex dataset with lots of dimensions, like a massive library of…
GLDADec: marker-gene guided LDA modeling for bulk gene expression deconvolution
Understanding the composition of cells within tissues and tumors is crucial in fields like immunology…
CASi – a framework for cross-timepoint analysis of single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) technology has emerged as a powerful tool, allowing scientists to peer…
STACAS – semi-supervised integration of single-cell transcriptomics data
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular diversity and function. However, the…
New research improves accuracy of molecular quantification in high throughput RNA sequencing
A team at NDORMS has developed a new approach to significantly improve the accuracy of…
scBayes – a Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data
Genetic and gene expression heterogeneity is an essential hallmark of many tumors, allowing the cancer…
RedRibbon – A new rank–rank hypergeometric overlap for gene and transcript expression signatures
High-throughput omics technologies have generated a wealth of large protein, gene, and transcript datasets that…
Isoformic – Transcript Level RNA-seq Analysis for Human Data
Transcriptome analysis is a widely used method in biological sciences, providing insights into gene expression…