A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Meshfree methods have emerged as a powerful alternative to traditional finite element approaches by eliminating the reliance on fixed meshes for domain discretisation. These techniques, which include ...
Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with emphasis on computational techniques for ...
Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...
Neurodegenerative disorders are defined by progressive neuronal dysfunction and death, in which oxidative stress is recognized as a central contributor to ...
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 ...
WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...
Researchers at Memorial Sloan Kettering Cancer Center (MSK) have developed a new open-source computational method, dubbed Spectra, which improves the analysis of single-cell transcriptomic data. By ...
A research team led by Yuuki Kubo and Shiji Tsuneyuki from the University of Tokyo has developed an innovative computational method to efficiently determine the crystal structures of multiphase ...
Survival Outcomes of Patients With Tropomyosin Receptor Kinase Fusion-Positive Cancer Receiving Larotrectinib Versus Standard of Care: A Matching-Adjusted Indirect Comparison Using Real-World Data ...
Vitalik Buterin explains blockchain scaling hierarchy, identifying computation as easiest to scale while state management ...