Computational Comparison and Visualization of Viruses in the Perspective of Clinical Information

António M Lopes¹, J A Tenreiro Machado², Alexandra M Galhano²

¹UISPA - LAETA/INEGI, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal. aml@fe.up.pt.

Interdisciplinary Sciences, Computational Life Sciences

|April 10, 2017

Abstract:

This paper addresses the visualization of complex information using multidimensional scaling (MDS). MDS is a technique adopted for processing data with multiple features scattered in high-dimensional spaces. For illustrating the proposed techniques, the case of viral diseases is considered. The study evaluates the characteristics of 21 viruses in the perspective of clinical information. Several new schemes are proposed for improving the visualization of the MDS charts. The results follow standard clinical practice, proving that the method represents a valuable tool to study a large number of viruses.

Keywords:

Complex data Computational visualization Multidimensional scaling Viruses diseases

Related Experiment Videos

Computational Comparison and Visualization of Viruses in the Perspective of Clinical Information

Related Concept Videos

Precise tracking control via iterative learning for one-sided Lipschitz Caputo fractional-order systems.

LMI-Based Delayed Output Feedback Controller Design for a Class of Fractional-Order Neutral-Type Delay Systems Using Guaranteed Cost Control Approach.

Disturbance observer-based delayed robust feedback control design for a class of uncertain variable fractional-order systems: Order-dependent and delay-dependent stability.

Numerical Design of a Thread-Optimized Gripping System for Lap Joint Testing in a Split Hopkinson Apparatus.

Improved Parameter Identification for Lithium-Ion Batteries Based on Complex-Order Beetle Swarm Optimization Algorithm.

Guaranteed cost-based feedback control design for fractional-order neutral systems with input-delayed and nonlinear perturbations.

A Re-parameterized Network-Based Lightweight Multimodal Fusion Network for Early Lung Cancer Risk Prediction.

HMHLVI: Hybrid Multi-view Hypergraph Learning with Variational Inference for snoRNA-Drug Association Prediction.

MBPBERT: A Large Language Model for Metal-Binding Peptide Discovery.

Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.

Hierarchical Graph Representation Learning for Protein-Protein Interaction Site Prediction.

3D Geometric Equivariant Graph Neural Networks with Contrastive Learning for Protein-Ligand Binding Affinity Prediction.

Assessing inter-rater agreement within a point prevalence survey of healthcare-associated infections and antimicrobial use in Canadian acute care hospitals.

[Drug selection for anti-inflammatory therapy of dry eye disease].

Predictors of increased length of stay and cost in readmissions for spinal surgical site infections.

Clinical Outcomes of Chronic Airway Infection in Primary Ciliary Dyskinesia.

A Retrospective Before-and-After Study Evaluating the Impact of Clinical Pharmacist Involvement on Patients Hospitalized with Bacteremia.

Prevalence of systemic disease among COVID-19 patients admitted at Jumbo COVID care facility, Mumbai.

Related Experiment Videos

Computational Comparison and Visualization of Viruses in the Perspective of Clinical Information

Abstract:

Related Concept Videos

Related Articles