Heuristics and metaheuristics for biological network alignment: A review
In recent years, with the emergence of big-data and high-throughput biological analyses,
massive biological data have been generated and accessed, and many heuristic and …
massive biological data have been generated and accessed, and many heuristic and …
A survey of graph comparison methods with applications to nondeterminism in high-performance computing
S Bhowmick, P Bell, M Taufer - The International Journal of …, 2023 - journals.sagepub.com
The convergence of extremely high levels of hardware concurrency and the effective overlap
of computation and communication in asynchronous executions has resulted in increasing …
of computation and communication in asynchronous executions has resulted in increasing …
[HTML][HTML] Boosting-based ensemble of global network aligners for PPI network alignment
M Menor-Flores, MA Vega-Rodríguez - Expert Systems with Applications, 2023 - Elsevier
The number of investigations attempting to align protein–protein interaction (PPI) networks
has increased with the growth of studies focused on collecting PPI data. These works aim to …
has increased with the growth of studies focused on collecting PPI data. These works aim to …
A heterogeneous E-commerce user alignment model based on data enhancement and data representation
S Wei, X Zhou, X An, X Yang, Y Xiao - Expert Systems with Applications, 2023 - Elsevier
Identifying users' accounts on different platforms is important for the management and
marketing of e-commerce platforms. To address the problem of sparse consumer behavior …
marketing of e-commerce platforms. To address the problem of sparse consumer behavior …
[HTML][HTML] A protein-protein interaction network aligner study in the multi-objective domain
M Menor-Flores, MA Vega-Rodríguez - Computer Methods and Programs …, 2024 - Elsevier
Abstract Background and Objective The protein-protein interaction (PPI) network alignment
has proven to be an efficient technique in the diagnosis and prevention of certain diseases …
has proven to be an efficient technique in the diagnosis and prevention of certain diseases …
Cluster Synchronization and Finite-Time Bounded for Complex Networks Under DoS Attacks and Encoding–Decoding Communication Protocol
Z Shi, Q Chen, D Tong, H Lu - Neural Processing Letters, 2023 - Springer
In this paper, the finite-time (FNT) cluster synchronization of complex dynamic networks
(CDNs) is discussed on the basis of encoding and decoding communication protocol …
(CDNs) is discussed on the basis of encoding and decoding communication protocol …
Multiresolution community detection in complex networks by using a decomposition based multiobjective memetic algorithm
Community structures are sets of nodes that are densely linked with each other, reflecting
the functional modules of real-world systems. Most classical works for community detection …
the functional modules of real-world systems. Most classical works for community detection …
Predicting human disease-associated pirnas based on multi-source information and random forest
Whole genome analysis studies have shown that Piwi-interacting RNA (piRNA) play a
crucial role in disease progression, diagnosis, and therapeutic target. However, traditional …
crucial role in disease progression, diagnosis, and therapeutic target. However, traditional …
Prediction of lncRNA-Disease Associations from Heterogeneous Information Network Based on DeepWalk Embedding Model
Long non-coding RNA is a class of non-coding RNAs, with a length of more than 200
nucleotides. A large number of studies have shown that lncRNAs are involved in various life …
nucleotides. A large number of studies have shown that lncRNAs are involved in various life …
A novel computational method for predicting LncRNA-disease associations from heterogeneous information network with SDNE embedding model
Recent studies have shown that lncRNAs play a critical role in numerous complex human
diseases. Thus, identification of lncRNA and diseases associations can help us to …
diseases. Thus, identification of lncRNA and diseases associations can help us to …