This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

NeighborNet constructs phylogenetic networks to visualize distance data. It is a popular method used in a wide range of applications. While several studies have investigated its mathematical features, ...

SAMBA is a FAIR scalable workflow integrating, into a unique tool, state-of-the-art bioinformatics and statistical methods to conduct reproducible eDNA analyses using Nextflow. SAMBA starts processing ...

Machine learning has shown utility in detecting patterns within large, unstructured, and complex datasets. One of the promising applications of machine learning is in precision medicine, where disease ...

This package implements an approach of epistasis mining based on Genetic Tabu Algorithm and Bayesian Network. It uses Genetic Tabu Algorithm into the heuristic search strategy of Bayesian network. The ...

Nothing says “I love you” like a customizable algebraic equation. By Siobhan Roberts Meet Süss, a math widget after your own heart. (You can also visit the widget on its website here, which you might ...

1 Faculty of Computing, Botho University-Maseru Campus, Maseru, Lesotho. 2 Department of Physics and Electronics, National University of Lesotho, Roma, Lesotho. Classical machine learning, which is at ...

Abstract: Study of traditional Chinese medicine (TCM) Zheng is a key to the research of TCM modernization, and the core is the classification and diagnostic criteria of Zheng. The purpose of this ...

A database searching approach can be used for metabolite identification in metabolomics by matching measured tandem mass spectra (MS/MS) against the predicted fragments of metabolites in a database.

Molecular dynamics simulation methods produce trajectories of atomic positions (and optionally velocities and energies) as a function of time and provide a representation of the sampling of a given ...

Dynamic programming algorithms guarantee to find the optimal alignment between two sequences. For more than a few sequences, exact algorithms become computationally impractical, and progressive ...