Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

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An enterprise-grade, AI-powered code review agent that integrates seamlessly with GitLab using PydanticAI. Automatically analyzes merge requests for security vulnerabilities, performance issues, code ...

The NARROW LEAF 1 (NAL1) allele, discovered in traditional rice landraces, enhances the yield of modern indica rice varieties. This study reveals that NAL1 is a protease with a unique quaternary ...

This module performs simulated annealing optimization to find the optimal state of a system. It is inspired by the metallurgic process of annealing whereby metals must be cooled at a regular schedule ...

Neuron morphology has been a central topic in neuroscience for over a century, as it is the substrate for neural connectivity, and serves as a useful basis for neuron classification. Technological ...

Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...

16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may ...

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