Search Results for "process open"

The caret (Classification And Regression Training) R package streamlines the process of building predictive machine learning models. It provides uniform interfaces for model training, tuning, evaluation, preprocessing, and variable importance. With support for over 200 models, caret is foundational for R workflows in modeling and machine learning.

No-code system is for the visual creation of structural-functional models and the automatic generation of R language simulation models. The program can be used to describe information, production, organizational, and other processes. For graphical representation, the EdPM/EPM notation is used, which allowed us to implement: - structural-functional modeling using graphical methods; - the study of the efficiency of structural-functional models using simulation methods, that allow (e.g....

Liquid chromatography–high resolution mass spectrometry (LC-HRMS) is the most popular platform for untargeted metabolomics methods, but annotating LC-HRMS data is a long-standing bottleneck that we are facing since years ago in metabolomics research. A wide variety of methods have been established to deal with the annotation issue. To date, however, there is a scarcity of efficient, systematic, and easy-to-handle tools that are tailored for metabolomics and exposome community. So we...

rnaseq_tutorial is a tutorial and educational resource created by the Griffith Lab that guides users through the steps of RNA-seq data analysis. It includes working pipelines for alignment, differential expression, alternative splicing, visualization, and interpretation. It is designed to run in the cloud or local environments, providing introductory material on file formats, reference genomes / annotation, QC, mapping, quantifying expression, visualizing results, etc. The version in that...