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PyMulSim: a method for computing node similarities between multilayer networks via graph isomorphism networks
BackgroundIn bioinformatics, interactions are modelled as networks, based on graph models. Generally, these support a single-layer structure which...
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Random walk with restart on multilayer networks: from node prioritisation to supervised link prediction and beyond
BackgroundBiological networks have proven invaluable ability for representing biological knowledge. Multilayer networks, which gather different types...
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Resin foraging interactions in stingless bees: an ecological synthesis using multilayer networks
Stingless bees use resins for nest construction, colony defense, and production of cerumen, propolis, and geopropolis. Despite their importance,...
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Network approach to understand biological systems: From single to multilayer networks
Network theory has led to the abstraction of many real-world systems and enabled their modelling as simple networks comprising nodes and edges. In...
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Multilayer Networks Assisting to Untangle Direct and Indirect Pathogen Transmission in Bats
The importance of species that connect the different types of interactions is becoming increasingly recognized, and this role may be related to...
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BRANEnet: embedding multilayer networks for omics data integration
BackgroundGene expression is regulated at different molecular levels, including chromatin accessibility, transcription, RNA maturation, and...
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Multilayer network alignment based on topological assessment via embeddings
BackgroundNetwork graphs allow modelling the real world objects in terms of interactions. In a multilayer network, the interactions are distributed...
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Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission
Antimicrobial resistance (AMR) is a significant threat to public health. Plasmids are principal vectors of AMR genes, significantly contributing to...
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Reconstructing gene regulatory networks of biological function using differential equations of multilayer perceptrons
BackgroundBuilding biological networks with a certain function is a challenge in systems biology. For the functionality of small (less than ten...
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Evolution of prosocial behaviours in multilayer populations
Human societies include diverse social relationships. Friends, family, business colleagues and online contacts can all contribute to one’s social...
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Ecological plasticity governs ecosystem services in multilayer networks
Agriculture is under pressure to achieve sustainable development goals for biodiversity and ecosystem services. Services in agro-ecosystems are...
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Linking structural and functional changes during aging using multilayer brain network analysis
Brain structure and function are intimately linked, however this association remains poorly understood and the complexity of this relationship has...
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Association filtering and generative adversarial networks for predicting lncRNA-associated disease
BackgroundLong non-coding RNA (lncRNA) closely associates with numerous biological processes, and with many diseases. Therefore, lncRNA-disease...
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Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Here, we performed a comprehensive intra-tissue and inter-tissue multilayer network analysis of the human transcriptome. We generated an atlas of...
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Neural Networks for Smart Agriculture
Smart agriculture is proposed to reduce workloads, enhance decision-making and management, and increase profitability by utilizing advanced...
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Analysis of the aging-related biomarker in a nonhuman primate model using multilayer omics
BackgroundAging is a prominent risk factor for diverse diseases; therefore, an in-depth understanding of its physiological mechanisms is required....
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Construction of Feedforward Multilayer Perceptron Model for Diagnosing Leishmaniasis Using Transcriptome Datasets and Cognitive Computing
Leishmaniasis is an endemic parasitic disease, predominantly found in the poor locality of Africa, Asia, and Latin America. It is associated with...
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On-Line Authenticity Verification of a Biometric Signature Using Dynamic Time War** Method and Neural Networks
To ensure proper authentication, e.g. in banking systems, multimodal verification are becoming more prevalent. In this paper an on-line signature...
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Residual networks without pooling layers improve the accuracy of genomic predictions
Key messageResidual neural network genomic selection is the first GS algorithm to reach 35 layers, and its prediction accuracy surpasses previous...
