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The following press release was issued today by the Broad Institute of MIT and Harvard. Researchers from MIT, the McGovern Institute for Brain Research at
E-Mail IMAGE: Overview of how CellChat can convert "molecular language " of cells into the translation that is interpretable by researchers. view more Credit: Suoqin Jin, Qing Nie & Maksim Plikus / UCI Irvine, Calif. -- An interdisciplinary team of biologists and mathematicians at the University of California, Irvine has developed a new tool to help decipher the language cells use to communicate with one another. In a paper published today in Nature Communications, the researchers introduce CellChat, a computational platform that enables the decoding of signaling molecules that...
New deep-learning framework predicts gene regulation at single-cell level Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving. In a study published recently in Science Advances, UCI researchers describe how the technique can also be successfully used to observe gene regulation at the cellular le...
E-Mail Irvine, Calif., Jan. 5, 2021 -- Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving. In a study published recently in Science Advances, UCI researchers describe how the technique can also be successfully used to observe gene regulation at the cellular level. Until now, that process had ...