pathfindR: an R package for comprehensive identification of enriched pathways in omics data through active subnetworks
Pathway analysis is often the first choice for studying the mechanisms underlying a
phenotype. However, conventional methods for pathway analysis do not take into account …
phenotype. However, conventional methods for pathway analysis do not take into account …
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 …
networks with molecular profiles is a key resource to inform on the processes perturbed in …
A scenario-based genetic algorithm for controlling supercapacitor aging and degradation in the industry 4.0 era
Electric double layer capacitors (EDLCs) are promising energy storage solutions, yet aging
and degradation issues impede reliability and lifespan. The research proposes integrated …
and degradation issues impede reliability and lifespan. The research proposes integrated …
pathfindR: an R package for pathway enrichment analysis utilizing active subnetworks
PathfindR is a tool for pathway enrichment analysis utilizing active subnetworks. It identifies
gene sets that form active subnetworks in a protein-protein interaction network using a list of …
gene sets that form active subnetworks in a protein-protein interaction network using a list of …
Comparison of Disease Specific Sub-Network Identification Programs
Active sub-network search aims to identify a group of interconnected genes in a protein-
protein interaction network that contains most of the disease-associated genes. In recent …
protein interaction network that contains most of the disease-associated genes. In recent …
A comparative study on psychiatric disorders: Identification of shared pathways and common agents
C Kuzudİşlİ, BB Güngör - 2022 Innovations in Intelligent …, 2022 - ieeexplore.ieee.org
Distinct but closely related diseases generally present shared symptoms, which address
possible overlaps among their pathogenic mechanisms. Identification of significantly …
possible overlaps among their pathogenic mechanisms. Identification of significantly …
prePathCluster: An novel deep-learning based method for endocrine disease pathway analysis
N Zhang, T Zang - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Identification and investigation of molecular pathways are important in exploring the
underlying mechanism of complex diseases. With the help of molecular and intermolecular …
underlying mechanism of complex diseases. With the help of molecular and intermolecular …
Evaluation of Sub-Network search programs in epilepsy-related GWAS dataset
B Bakir Gungor, B Adanur Dedetürk - 2022 - openaccess.agu.edu.tr
The active sub-network detection aims to find a group of interconnected genes of disease-
related genes in a protein-protein interaction network. In recent years, several algorithms …
related genes in a protein-protein interaction network. In recent years, several algorithms …
Using Genetic Algorithm to Extract an Active Subnetwork
N Karimli - 2022 - search.proquest.com
Son yıllarda, biyoinformatik alanında, hastalıkların davranışlarını anlamak ve hastalıkların
tedavisinde kullanılabilecek ilaçların bulunabilmesi için genlerin analizi ve büyük protein …
tedavisinde kullanılabilecek ilaçların bulunabilmesi için genlerin analizi ve büyük protein …
Evaluation of Sub-Network search programs in epilepsy-related GWAS dataset
BA Dedeturk, BB Gungor - Pamukkale Üniversitesi Mühendislik …, 2022 - dergipark.org.tr
The active sub-network detection aims to find a group of interconnected genes of disease-
related genes in a protein-protein interaction network. In recent years, several algorithms …
related genes in a protein-protein interaction network. In recent years, several algorithms …