Vital nodes identification in complex networks
Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …
structure and function. To identify vital nodes is thus very significant, allowing us to control …
A review of machine learning approaches for drug synergy prediction in cancer
Combinational pharmacotherapy with the synergistic/additive effect is a powerful treatment
strategy for complex diseases such as malignancies. Identifying synergistic combinations …
strategy for complex diseases such as malignancies. Identifying synergistic combinations …
Chapter 5: Network biology approach to complex diseases
Complex diseases are caused by a combination of genetic and environmental factors.
Uncovering the molecular pathways through which genetic factors affect a phenotype is …
Uncovering the molecular pathways through which genetic factors affect a phenotype is …
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes
In artificial neural networks, learning from data is a computationally demanding task in which
a large number of connection weights are iteratively tuned through stochastic-gradient …
a large number of connection weights are iteratively tuned through stochastic-gradient …
Network-based interpretation of diverse high-throughput datasets through the omics integrator software package
High-throughput,'omic'methods provide sensitive measures of biological responses to
perturbations. However, inherent biases in high-throughput assays make it difficult to …
perturbations. However, inherent biases in high-throughput assays make it difficult to …
Solving Steiner trees: Recent advances, challenges, and perspectives
I Ljubić - Networks, 2021 - Wiley Online Library
The Steiner tree problem (STP) in graphs is one of the most studied problems in
combinatorial optimization. Since its inception in 1970, numerous articles published in the …
combinatorial optimization. Since its inception in 1970, numerous articles published in the …
[HTML][HTML] Genome-scale networks link neurodegenerative disease genes to α-synuclein through specific molecular pathways
Numerous genes and molecular pathways are implicated in neurodegenerative
proteinopathies, but their inter-relationships are poorly understood. We systematically …
proteinopathies, but their inter-relationships are poorly understood. We systematically …
[HTML][HTML] Interactome-based approaches to human disease
Recent advances in high-throughput technologies have created exciting opportunities for
systematically investigating the molecular basis of human disease. In addition to a growing …
systematically investigating the molecular basis of human disease. In addition to a growing …
Containing epidemic outbreaks by message-passing techniques
The problem of targeted network immunization can be defined as the one of finding a subset
of nodes in a network to immunize or vaccinate in order to minimize a tradeoff between the …
of nodes in a network to immunize or vaccinate in order to minimize a tradeoff between the …
Simultaneous reconstruction of multiple signaling pathways via the prize-collecting steiner forest problem
Signaling and regulatory networks are essential for cells to control processes such as
growth, differentiation, and response to stimuli. Although many “omic” data sources are …
growth, differentiation, and response to stimuli. Although many “omic” data sources are …