Single-cell gene sequencing has changed the way scientists understand life at the smallest level. It lets researchers study ...

Tel Aviv University team's scNET algorithm combines data on cells with protein 'social network' to cut 'high noise' and shed ...

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

The Global Single-cell Analysis Market is projected to grow at a CAGR of 9.5% from 2026 to 2033, according to a new report ...

The researchers highlighted how AI tools like scNET could help decode complex cell behaviours and design targeted therapies. ...

Single-cell transcriptomics has revolutionized ... resulting in substantial data loss and limiting sequencing efficiency. In ...

Research led by Children's Hospital of Fudan University in China has found that a gene called pancreatic progenitor cell ...

The authors have generated important resources such as a reference dataset of early primate development by utilizing single-cell transcriptomic technology together with induced pluripotent stem cells ...