Machine learning meets physics: A two-way street
This article introduces a special issue on the interaction between the rapidly expanding field
of machine learning and ongoing research in physics. The first half of the papers in this …
of machine learning and ongoing research in physics. The first half of the papers in this …
Genomic language model predicts protein co-regulation and function
Y Hwang, AL Cornman, EH Kellogg… - Nature …, 2024 - nature.com
Deciphering the relationship between a gene and its genomic context is fundamental to
understanding and engineering biological systems. Machine learning has shown promise in …
understanding and engineering biological systems. Machine learning has shown promise in …
Deciphering Peptide-Protein Interactions via Composition-Based Prediction: A Case Study with Survivin/BIRC5
AL Anindya, TN Olsson, M Jensen… - Machine Learning …, 2024 - iopscience.iop.org
In the realm of atomic physics and chemistry, composition emerges as the most powerful
means of describing matter. Mendeleev's periodic table and chemical formulas, while not …
means of describing matter. Mendeleev's periodic table and chemical formulas, while not …