Benchmarking pipelineTo evaluate machine learning methods for predicting SL interactions, we selected 12 methods published in recent years, including three matrix factorization-based methods (SL2MF31, CMFW32, and GRSMF33)...
Development of a high-throughput method to obtain a high-quality enantioselectivity datasetEnantiomeric excess (e.e.) is a commonly used parameter to gauge the enantioselectivity of given enzymes. However, when...
Sibi, S., Baiters, S., Mok, B., Steiner, M. & Ju, W. Assessing driver cortical activity under varying levels of automation with functional near infrared spectroscopy. In 2017...
The data analysis pipeline consists of three main modules: spatial overlay, dimensionality reduction, and a combined metabolite annotation/pathway mapping step (Fig. 2). The resulting output...
NASA has pushed back the decision to return its stranded Starliner astronauts to the end of August pending a "major discussion" about the spaceship's...
