Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...
Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
Over the past decades, large-scale human genetic studies have identified numerous risk genes and variants associated with complex diseases and traits.
An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. In April 2023, Pew Research Center published an analysis of mission statements ...
The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...
A landmark study, titled “How error correction affects polymerase chain reaction deduplication: A survey based on unique molecular identifier datasets of short reads” recently published in ...
A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...
Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...
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