[HTML][HTML] Proteomics-driven biomarkers in Pancreatic Cancer
Pancreatic cancer is a devastating disease that has a grim prognosis, highlighting the need
for improved screening, diagnosis, and treatment strategies. Currently, the sole biomarker …
for improved screening, diagnosis, and treatment strategies. Currently, the sole biomarker …
Community detection in protein-protein interaction networks and applications
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 …
internal modular organization through network analysis is fundamental for understanding …
Clustering and summarizing protein-protein interaction networks: A survey
SS Bhowmick, BS Seah - IEEE Transactions on Knowledge …, 2015 - ieeexplore.ieee.org
The increasing availability and significance of large-scale protein-protein interaction (ppi)
data has resulted in a flurry of research activity to comprehend the organization, processes …
data has resulted in a flurry of research activity to comprehend the organization, processes …
Decision tree classifier based on topological characteristics of subgraph for the mining of protein complexes from large scale PPI networks
The growing accessibility of large-scale protein interaction data demands extensive
research to understand cell organization and its functioning at the network level …
research to understand cell organization and its functioning at the network level …
PC2P: parameter-free network-based prediction of protein complexes
Motivation Prediction of protein complexes from protein–protein interaction (PPI) networks is
an important problem in systems biology, as they control different cellular functions. The …
an important problem in systems biology, as they control different cellular functions. The …
IoMT-based association rule mining for the prediction of human protein complexes
The inspiring increase in the Internet-enabling devices has influenced health industry due to
the nature of these devices where they offer health related information swiftly. One of the …
the nature of these devices where they offer health related information swiftly. One of the …
[PDF][PDF] On knowledge discovery and interactive intelligent visualization of biomedical data
A Holzinger - Proceedings of the Int. Conf. on Data …, 2012 - graz.elsevierpure.com
Biomedical Informatics can be defined as “the interdisciplinary field that studies and pursues
the effective use of biomedical data, information and knowledge for scientific inquiry …
the effective use of biomedical data, information and knowledge for scientific inquiry …
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction
Background Ontologies and catalogs of gene functions, such as the Gene Ontology (GO)
and MIPS-FUN, assume that functional classes are organized hierarchically, that is, general …
and MIPS-FUN, assume that functional classes are organized hierarchically, that is, general …
HetFCM: functional co-module discovery by heterogeneous network co-clustering
Functional molecular module (ie, gene–miRNA co-modules and gene–miRNA–lncRNA
triple-layer modules) analysis can dissect complex regulations underlying etiology or …
triple-layer modules) analysis can dissect complex regulations underlying etiology or …
Super. Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks
Characterization of protein complexes, ie sets of proteins assembling into a single larger
physical entity, is important, as such assemblies play many essential roles in cells such as …
physical entity, is important, as such assemblies play many essential roles in cells such as …