Motivation and Objectives
Automation and intelligent measurement devices produce multiparametric and structured datasets of huge amount. The incorporation of the multivariate data analysis, artificial intelligence, neural networks, and agent based modeling exceeds the experiences of the classical straightforward evaluation and reveal emergent attributes, dependences, or relations. For the wide spectrum of techniques, genomics, transcriptomics, metabolomics, proteomics, lipidomics, aquaphotomics, etc, it is required superposition of expert knowledge from bioinformatics, biophysics, and biocybernetics. The series of systematic experiments have to deal also with the data pipelines, databases, sharing, and proper description. The integrated concepts offer robust evaluation, verification, and comparison.
In this special section should be provided discussion on novel approaches in measurement, algorithms, methods, software, and data management focused on the omic sciences. The topic should cover practical examples, strong results, and future visions.
Dr. Jan Urban
Dr. Jan Urban obtained his engineering degree in Cybernetics in 2005, and his PhD in Biophysics in 2010. As a postdoc he spent time in Norway, USA, Austria, and Gran Canaria. In 2012 he obtained Award of the South Bohemia University rector for the best publication. In 2018 he obtained Award of the faculty dean for the applied research. Since 2014 he his a head of Laboratory of signal and image processing, Institute of Complex Systems. His research is focused on metabolomics, resolution, and noise in biological tasks.