Tech upgrade reveals even finer transcription detail inside cells

In 2021, a technology developed at the University of Michigan, called Seq-Scope, revolutionized the ability to map gene ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

Nanoparticles and artificial intelligence can help researchers detect pollutants in water, soil and blood

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.
Labroots

~30-Hour Genotyping in Pharmacogenomics & Forensics - ASHG25 Workshop Replay

You don’t have to miss the innovation because you missed the conference. In this ASHG25 workshop replay, we unveil a new automated microarray workflow that enables sample-to-report in ...
eLife

A translational transcriptomic signature of vaccine reactogenicity for the evaluation of novel formulations

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...
IEEE

Selection of Robust Feature Selection Methods Used for Gene Expression Analysis of Microarray Data

Abstract: Experimental genomics involves a series of techniques and methodologies aimed at analysing the organization and behaviour of genes and genomes. Microarrays have a large number of nucleic ...
IEEE

scSwinTNet: A Cell Type Annotation Method for Large-Scale Single-Cell RNA-Seq Data Based on Shifted Window Attention

Abstract: The annotation of cell types based on single-cell RNA sequencing (scRNA-seq) data is a critical downstream task in single-cell analysis, with significant implications for a deeper ...