Further, integration of different omics technologies, such as metabolomics and transcriptomics, or cistromics and transcriptomics, can be carried out. In addition to investigator data generated at the ...

This work developed a new deep learning framework, MULGONET, to predict cancer recurrence and identify key biomarkers by ...

Lipids are an essential part of a cell’s biomolecular pool and play important roles in multiple ... omics has improved our understanding of cancer heterogeneity,” as single-cell omics data ...

For instance, network analysis can reveal how changes in gene ... Machine learning models can be trained on integrated ...

A recent study in Engineering delves into how next-generation artificial intelligence and big data are being applied in crop ...

Abiotic stresses such as heat, drought, salinity, and intense light significantly impact plant productivity in varying ...

By leveraging multi-omics analysis and machine learning techniques, the research team led by Professor Shuo Wang (Institute ...

Further integrative analysis of drug sensitivity combined with proteomic/phosphoproteomic data uncovered potential drug combinations). Read the full story here.

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 published ...

Abiotic stresses such as heat, drought, salinity, and intense light significantly impact plant productivity in varying environments. Traditionally, the ...