Combining complex networks and data mining: why and how

M Zanin, D Papo, PA Sousa, E Menasalvas, A Nicchi… - Physics Reports, 2016 - Elsevier
The increasing power of computer technology does not dispense with the need to extract
meaningful information out of data sets of ever growing size, and indeed typically …

Pattern recognition for predictive, preventive, and personalized medicine in cancer

T Cheng, X Zhan - EPMA Journal, 2017 - Springer
Predictive, preventive, and personalized medicine (PPPM) is the hot spot and future
direction in the field of cancer. Cancer is a complex, whole-body disease that involved multi …

Model-free information-theoretic approach to infer leadership in pairs of zebrafish

S Butail, V Mwaffo, M Porfiri - Physical Review E, 2016 - APS
Collective behavior affords several advantages to fish in avoiding predators, foraging,
mating, and swimming. Although fish schools have been traditionally considered egalitarian …

Parenclitic and synolytic networks revisited

T Nazarenko, HJ Whitwell, O Blyuss, A Zaikin - Frontiers in Genetics, 2021 - frontiersin.org
Parenclitic networks provide a powerful and relatively new way to coerce multidimensional
data into a graph form, enabling the application of graph theory to evaluate features …

Scalable multilabel learning based on feature and label dimensionality reduction

J Lee, DW Kim - Complexity, 2018 - Wiley Online Library
The data‐driven management of real‐life systems based on a trained model, which in turn is
based on the data gathered from its daily usage, has attracted a lot of attention because it …

[PDF][PDF] DNA methylation changes with age as a complex system: A parenclitic network approach to a family-based cohort of patients with Down Syndrome

M Krivonosov, T Nazarenko, MG Bacalini… - bioRxiv, 2020 - scholar.archive.org
Network models are a powerful tool to represent, analyze and unfold the complexity of a
large-dimensional data system at the fundamental level. The main advantage of network …

[PDF][PDF] Ensemble of correlation, parenclitic and synolitic graphs as a tool to detect universal changes in complex biological systems: Comment on" Dynamic and …

T Nazarenko, O Blyuss, H Whitwell… - Physics of Life …, 2021 - uhra.herts.ac.uk
Complexity is a natural feature of biological systems. For example, a human can be
characterised by a vast amount of information, packed in a super-network that is, in principle …

[PDF][PDF] Age-dependen t DNA methylation Parenclitic Networks in family-based cohor t patients with Down Syndrome

M Krivonosov, T Nazarenko, MG Bacalini, C Franceschi… - bioRxiv, 2020 - researchgate.net
Network models are a powerful tool to represent, analyze and unfold the complexity of a
large-dimensional data system at the fundamental level. The main advantage of network …

Comparison of Machine Learning Methods forA nalysis of Ulcerative Colitis Proteomic Data

A Ryblov, S Kolesov, E Fedulova… - Opera Medica et …, 2017 - cyberleninka.ru
Ulcerative colitis is a chronic inflammatory disease of the gastrointestinal system, affecting
adults and children. Its cause is unknown, and the knowledge of reliable biomarkers is …

Complex Networks and Data Mining: Toward a new perspective for the understanding of Complex Systems

M Zanin - 2014 - search.proquest.com
Complex systems, ie systems composed of a large set of elements interacting in a non-linear
way, are constantly found all around us. In the last decades, different approaches have been …