ConDecon – clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data
Understanding the complex world of cells within tissues has taken a leap forward with the…
Browsing: Expression and Quantification
Transcriptome-wide analysis of the 5′ Cap status of RNA and RNA sequencing
Messenger RNA (mRNA) is essential for transferring genetic instructions from DNA to the cellular machinery…
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…
pathlinkR – analyze and interpret RNA-Seq results
RNA sequencing (RNA-Seq) is a powerful technique that helps researchers study gene expression, giving them…
PRESS – a Platelet Reactivity ExpreSsion Score derived from patients with peripheral artery disease predicts cardiovascular risk
Platelets, tiny cells in our blood, play a critical role in stopping bleeding by forming…
dRNASb – a systems biology approach to decipher dynamics of host-pathogen interactions using temporal dual RNA-seq data
When our body gets infected, a complex battle ensues between our immune system and the…
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…
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…