Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage

Classification of Chronic Kidney Disease Patients via k-important Neighbors in High Dimensional Metabolomics Dataset

Background: Chronic kidney disease (CKD), characterized by progressive loss of renal function, is becoming a growing problem in the general population. New analytical technologies such as “omics”-based approaches, including metabolomics, provide a useful platform for biomarker discovery and improvement of CKD management. In metabolomics studies, not only prediction accuracy is ...

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

Robust High - Dimensional Data Analysis Using a Weight Shrinkage

Univariate shrinkage in the cox model for high dimensional data.

We propose a method for prediction in Cox's proportional model, when the number of features (regressors), p, exceeds the number of observations, n. The method assumes that the features are independent in each risk set, so that the partial likelihood factors into a product. As such, it is analogous to univariate thresholding in linear regression and nearest shrunken centroids in classification. ...

Class Visualization of High - Dimensional Data withApplicationsInderjit

We consider the problem of visualizing high-dimensional data that has been categorized into various classes. Our goal in visualizing is to quickly absorb inter-class and intra-class relationships. Towards this end, we introduce class-preserving projections of the multidimensional data onto two-dimensional planes which can then be displayed on a computer screen. These class-preserving projection...