Scientists have long observed that embryos of different species within a phylum look quite distinct at early and late developmental stages but resemble one another more during mid-embryogenesis, a ...

SingleCell Biotechnology, a biotechnology company developing technologies to measure tumor cell behavior at single-cell resolution, today announced that data from its platform will be presented at the ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Single-cell transcriptomics data from mouse bone-relevant cells was used to inform human bone mineral density genome-wide association studies and prioritize genetic targets with potential causal roles ...

By combining high-resolution genomic data with AI, researchers are uncovering the regulatory logic plants use to sense and survive environmental stress.

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Cell clustering can vary wildly depending on algorithm settings like the random seed — even with the exact same data. scICE automatically detects and removes unstable groupings, giving researchers ...

Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...

A session exploring the latest analytical and computational strategies in metabolomics/lipidomics is scheduled at analytica 2026 on Thursday, March 26, from 15:00–17:00 in ICM Saal 2. Four speakers ...

Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to Parkinson's to ALS and beyond, is expected to double every 20 years. Though ...