The integration of external information resources is essential in interpreting intrinsic patterns and relationships in large-scale gene expression data. Figure 1: Cumulative growth of molecular ...
Biology has yet to tap into the full benefits of computer simulations, but a new AI foundation model developed by a team of scientists including CMU's Eric Xing hopes to change that.
scGPT predicts the expression levels of genes in a cell. According to Wang, employing a single base model to perform many downstream tasks is beneficial because using various computational models to ...
Their results, published in the Proceedings of the National Academy of Sciences, highlight the role of gene expression in the evolution and function of the human brain. Interpreting nature's ...