If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

When incorporating DCA and PLM features, both models are fine-tuned via few-shot learning on a subset of the training data. Subsequently, a weighted ensemble of the original (unsupervised) and ...

While the high year-round production of tomatoes has been facilitated by solar greenhouse cultivation, these yields readily fluctuate in response to changing environmental conditions. Mathematic ...

this is a library of machine learning algorithms implemented in python + numpy. this is an ongoing (self-) educational project, and focuses on well-commented, understandable code over efficiency.

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Many biochemical processes depend on the association of ...

With the growing importance of microbiome research, there is increasing evidence that host variation in microbial communities is associated with overall host health. Advancement in genetic sequencing ...

Methods for mining RiPPs include single-input whole-genome analysis (such as antiSMASH and BAGEL3) 4,12 and RiPPquest, a mass spectrometry (MS)-based method for connecting BGCs to molecules. However, ...