TempO-seq and RNA-seq Gene Expression Levels are Highly Correlated for Most Genes: A Comparison Using 39 Human Cell Lines
Recent advances in transcriptomics technologies allow for whole transcriptome gene expression profiling using targeted…
Browsing: Computational Biology
moPepGen – identification of non-canonical peptides from RNA-Seq data
Understanding the full complexity of proteins in cancer is a major challenge for scientists. Many…
I2SysBio scientists explore a new gene sequencing technique that helps decipher diseases like cancer
Researchers at the Institute of Integrative Systems Biology (I2SysBio) have published a review of long-read…
SC2Spa – a deep learning based approach to map transcriptome to spatial origins at cellular resolution
Understanding how cells are organized within tissues is crucial to learning how organs function and…
OmiCLIP – a visual–omics foundation model to bridge histopathology with spatial transcriptomics
Researchers are constantly looking for better ways to understand how genes function in the context…
adverSCarial – assessing the vulnerability of single-cell RNA-sequencing classifiers to adversarial attacks
Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for analyzing gene expression at the…
scTrans – sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
Understanding the complex mix of cell types in tissues is a major challenge in biology,…
CoupleVAE – coupled variational autoencoders for predicting perturbational single-cell RNA sequencing data
As single-cell RNA sequencing becomes more advanced, scientists are now able to analyze the genetic…
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…
LocusMasterTE – integrating long-read RNA sequencing improves locus-specific quantification of transposable element expression
Transposable elements (TEs), often called “jumping genes,” are mobile DNA sequences that can relocate within…