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…
Browsing: Computational Biology
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…
Developing advanced tools to improve accuracy and accessibility for long-read RNA sequencing
In the ever-evolving world of computational biology, one of the greatest challenges has always been…
New AI tool pinpoints gene splicing with unmatched precision
A recent innovation from Johns Hopkins researchers enables deeper insights into gene function and disease-linked…
scGraphformer – unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network
Single-cell RNA sequencing (scRNA-seq) has become a cornerstone tool in modern biology, allowing researchers to…