Getting dynamic information from static snapshots
UChicago researchers use machine learning insights to provide a better way for cancer and immunology…
Browsing: Publications
SifiNet – a robust and accurate method to identify feature gene sets and annotate cells
Understanding the distinct gene sets and subpopulations within heterogeneous cell populations is essential for unraveling…
Extraction of high quality and high yield RNA from frozen EDTA blood
For medical diagnostics and biomarker discovery, the ability to analyze gene expression from peripheral blood…
RNA-Seq unveila a hidden trait in Mycobacterium genomes governing stress adaptation
New research led by Qingyun Liu, PhD, assistant professor in the UNC Department of Genetics,…
New RNA sequencing technology uncovers mechanism affecting generation of new COVID variants
The SARS-CoV-2 virus that causes COVID has the unsettling ability of often generating variants of…
MapUTR – identifies rare functional 3′ UTR variants regulating mRNA abundance of cancer driver genes
Understanding the function of rare non-coding variants has long been a daunting task. These elusive…
mAFiA – detecting m6A at single-molecular resolution via direct RNA sequencing and realistic training data
Unraveling the mysteries of RNA has always been a challenging task, but recent advancements in…
PERCEPTION – an AI tool that predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors
In a proof-of-concept study, researchers at the National Institutes of Health (NIH) have developed an…
Procrustes – a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data
In personalized oncology, gene expression profiling has become increasingly vital for tailoring treatment strategies to…
Discovering a new microRNA-regulated pathway to boost iPS cell-derived platelet production
A team of researchers at Kyoto University led by Professor Koji Eto (Department of Clinical Application)…