|
|
Summary: ADViSELipidomics is a novel Shiny app for preprocessing, analyzing and visualizing lipidomics data. It
handles the outputs from LipidSearch and LIQUID for lipid identification and quantification and the data from
the Metabolomics Workbench. ADViSELipidomics extracts information by parsing… |
|
|
In this paper we study sparse high dimensional additive partial linear models with
nonparametric additive components of heterogeneous smoothness. We review several existing algo-
rithms that have been developed for this problem in the recent literature, highlighting the connec-
tions between them,… |
|
|
In this paper we propose a multiperiod optimization model based on the maximal covering location problem in order to support safety policies within urban areas. In particular, we focus on the field of car accidents control, by considering the problem of the optimal location of intersection safety… |
|
|
|
|
|
Parkinson's disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing… |
|
|
The numerical solution of reaction-diffusion systems modelling predator-prey dynamics using implicit-symplectic (IMSP) schemes is relatively new. When applied to problems with chaotic dynamics they perform well, both in terms of computational effort and accuracy. However, until the current paper, a… |
|
|
This paper presents a novel approach for the extraction of the transients content of audio signals, usually represented as superposition of stationary, transient, and stochastic components. The proposed model exploits the predictable and peculiar time-scale behavior of transients by modeling them… |
|
|
Background: Computational biology contributes to a variety of areas related to life sciences and, due to the growing impact of translational medicine - the scientific approach to medicine in tight relation with basic science, it is becoming an important player in clinical-related areas. In this… |
|
|
The classic Brusselator model consists of four reactions in- volving six components A, B, D, E, X, Y. In a typical run, the final products D and E are removed instantly, while, the con- centrations of the reactants A and B are kept constant. Then, the classic Brusselator model consisting of two… |
|
|
|