Understanding how cells transform into specialized types during human development is a central challenge in biology. This complex process, known as cell differentiation, holds the key to understanding ...

Scientists may now be one step closer to understanding the inner logic of artificial intelligence (AI) models used for genomics thanks to a new tool from a group at Simons Center for Quantitative ...

To get more out of RNA-seq analysis, scientists at St. Jude Children's Research Hospital created ReDeconv, an algorithmic tool that accounts for transcriptome size differences to unmask those ...

Scientists have used computational tools, including machine learning, to differentiate between subtypes of rheumatoid arthritis. In this study, which was reported in Nature Communications, the ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

A new computational tool could help researchers identify promising drug combinations for treating cancer, according to a new study. The research, published today as a Reviewed Preprint in eLife, is ...

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to assess which patients with metastatic ...

A computational tool has accurately predicted a drug combination that inhibited triple-negative breast cancer in in vitro experiments. Researchers at the Icahn School of Medicine at Mount Sinai (NY, ...

Retrosynthesis or retrosynthetic analysis (RA) is a strategic organic chemistry approach that scientists use to construct target molecules from easy-to-make or readily available precursors. 2 ...

A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...

Researchers at the Icahn School of Medicine at Mount Sinai have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of ...