Journal of Chemistry and Applied Chemical EngineeringISSN : 2576-3954

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Editorial,  J Chem Appl Chem Eng Vol: 5 Issue: 5

Probabilistic Universal Model Approximator (PUMA): A Novel Algorithm for Visualizing Classification Models

Hailey Robert


Statement of the Problem: Analysis of data is the most the most challenging step in metabolomics experiments. In part, this is related to the enormous amount of data generated by metabolomics analytical methods. Chemometrics, especially principal components analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) have been the most commonly used methods for analyzing metabolomics data. Recently, the increase in complexity of metabolomics data sets further increased the reliance on more sophisticated supervised classification algorithms (e.g. support vector machine (SVM) and random forest (RF)) for analyzing metabolomics data.

Keywords: Chemical Physics

Dhaka University

international publisher, scitechnol, subscription journals, subscription, international, publisher, science

Track Your Manuscript

Awards Nomination