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A python-based pipeline for preprocessing lc–ms data for untargeted metabolomics workflows
(Molecular Diversity Preservation International, 2020-10)
Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography–mass spectrometry (LC–MS) involves the removal of biologically ...
An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration
(Elsevier Science, 2013-07)
A new optimization strategy for multivariate partial-least-squares (PLS) regression analysis is described. It was achieved by integrating three efficient strategies to improve PLS calibration models: (1) variable selection ...
Heart Rate Variability: Influence of Pre-processing Methods in Identifying Single-Night Sleep-Deprived Subjects
(Institute of Biomedical Engineering, 2021-01)
Purpose: Autonomic nervous system (ANS) activity can be non-invasively estimated from the heart rate variability (HRV) signal obtained from the electrocardiogram (ECG). The aim of this work is to find useful parameters ...
A proposal of quantum data representation to improve the discrimination power
(Springer, 2019-02-25)
This work proposes a quantum representation for improvement of data discrimination power, transforming a non linearly separable problem into a linearly separable problem. This methodology proposed here can be naturally ...
Computational geometry in the preprocessing of point clouds for surface modeling
(1998)
In Computer Aided Geometric Design ( CAGD ) the automated fitting of surfaces to massive series of data points presents several difficulties: (i) even the formal definition of the problem is ambiguous because the mathematical ...