A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

H Nguyen, D Tran, B Tran, B Pehlivan… - Briefings in …, 2021 - academic.oup.com
Gene regulatory network is a complicated set of interactions between genetic materials,
which dictates how cells develop in living organisms and react to their surrounding …

A comprehensive survey of the approaches for pathway analysis using multi-omics data integration

Z Maghsoudi, H Nguyen, A Tavakkoli… - Briefings in …, 2022 - academic.oup.com
Pathway analysis has been widely used to detect pathways and functions associated with
complex disease phenotypes. The proliferation of this approach is due to better …

Community detection in protein-protein interaction networks and applications

I Manipur, M Giordano, M Piccirillo… - IEEE/ACM …, 2021 - ieeexplore.ieee.org
The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …

[HTML][HTML] Connections for matters of the heart: network medicine in cardiovascular diseases

AR Sonawane, E Aikawa, M Aikawa - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in
millions of people worldwide. Like other fields, CVD research has benefitted from the deluge …

[HTML][HTML] A multi-cohort and multi-omics meta-analysis framework to identify network-based gene signatures

A Shafi, T Nguyen, A Peyvandipour, H Nguyen… - Frontiers in …, 2019 - frontiersin.org
Although massive amounts of condition-specific molecular profiles are being accumulated in
public repositories every day, meaningful interpretation of these data remains a major …

[HTML][HTML] A new machine learning method for cancer mutation analysis

M Habibi, G Taheri - PLoS computational biology, 2022 - journals.plos.org
It is complicated to identify cancer-causing mutations. The recurrence of a mutation in
patients remains one of the most reliable features of mutation driver status. However, some …

[HTML][HTML] A multi-objective genetic algorithm to find active modules in multiplex biological networks

EM Novoa-del-Toro, E Mezura-Montes… - PLoS computational …, 2021 - journals.plos.org
The identification of subnetworks of interest—or active modules—by integrating biological
networks with molecular profiles is a key resource to inform on the processes perturbed in …

[HTML][HTML] Introducing the novel Cytoscape app TimeNexus to analyze time-series data using temporal MultiLayer Networks (tMLNs)

M Pierrelée, A Reynders, F Lopez, A Moqrich… - Scientific Reports, 2021 - nature.com
Integrating-omics data with biological networks such as protein–protein interaction networks
is a popular and useful approach to interpret expression changes of genes in changing …

[HTML][HTML] SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks

JU Loers, V Vermeirssen - BMC bioinformatics, 2022 - Springer
Background Representing the complex interplay between different types of biomolecules
across different omics layers in multi-omics networks bears great potential to gain a deep …

Temporal and sequential order of nonoverlapping gene networks unraveled in mated female Drosophila

C Pasquier, A Robichon - Life Science Alliance, 2022 - life-science-alliance.org
In this study, we reanalyzed available datasets of gene expression changes in female
Drosophila head induced by mating. Mated females present metabolic phenotypic changes …