Protein‐protein interaction networks as miners of biological discovery
Protein‐protein interactions (PPIs) form the basis of a myriad of biological pathways and
mechanism, such as the formation of protein complexes or the components of signaling …
mechanism, such as the formation of protein complexes or the components of signaling …
Bioinformatics approaches for unveiling virus-host interactions
Abstract The coronavirus disease-2019 (COVID-19) pandemic has elucidated major
limitations in the capacity of medical and research institutions to appropriately manage …
limitations in the capacity of medical and research institutions to appropriately manage …
Alternating-direction-method of multipliers-based adaptive nonnegative latent factor analysis
Large scale interaction data are frequently found in industrial applications related with Big
Data. Due to the fact that few interactions commonly happen among numerous nodes in real …
Data. Due to the fact that few interactions commonly happen among numerous nodes in real …
An alternating-direction-method of multipliers-incorporated approach to symmetric non-negative latent factor analysis
Large-scale undirected weighted networks are frequently encountered in big-data-related
applications concerning interactions among a large unique set of entities. Such a network …
applications concerning interactions among a large unique set of entities. Such a network …
Comparative interactomics for virus–human protein–protein interactions: DNA viruses versus RNA viruses
Viruses are obligatory intracellular pathogens and completely depend on their hosts for
survival and reproduction. The strategies adopted by viruses to exploit host cell processes …
survival and reproduction. The strategies adopted by viruses to exploit host cell processes …
Predicting interactions between virus and host proteins using repeat patterns and composition of amino acids
S Alguwaizani, B Park, X Zhou… - Journal of healthcare …, 2018 - Wiley Online Library
Previous methods for predicting protein‐protein interactions (PPIs) were mainly focused on
PPIs within a single species, but PPIs across different species have recently emerged as an …
PPIs within a single species, but PPIs across different species have recently emerged as an …
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology
D Acharya, A Mukhopadhyay - Briefings in Functional Genomics, 2024 - academic.oup.com
Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse
biological interaction between different omics. Machine learning approaches have been …
biological interaction between different omics. Machine learning approaches have been …
Germline genomic patterns are associated with cancer risk, oncogenic pathways, and clinical outcomes
There is an ongoing debate on the importance of genetic factors in cancer development,
where gene-centered cancer predisposition seems to show that only 5 to 10% of the cancer …
where gene-centered cancer predisposition seems to show that only 5 to 10% of the cancer …
Deep variational graph autoencoders for novel host-directed therapy options against COVID-19
The COVID-19 pandemic has been keeping asking urgent questions with respect to
therapeutic options. Existing drugs that can be repurposed promise rapid implementation in …
therapeutic options. Existing drugs that can be repurposed promise rapid implementation in …
[HTML][HTML] Unveiling network-based functional features through integration of gene expression into protein networks
M Jalili, T Gebhardt, O Wolkenhauer… - … et Biophysica Acta (BBA …, 2018 - Elsevier
Decoding health and disease phenotypes is one of the fundamental objectives in
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …