[HTML][HTML] Crosstalkr: An open-source R package to facilitate drug target identification
In the last few decades, interest in graph-based analysis of biological networks has grown
substantially. Protein-protein interaction networks are one of the most common biological …
substantially. Protein-protein interaction networks are one of the most common biological …
Novel approaches for optimal therapy design in drug-resistant populations
DT Weaver - 2023 - search.proquest.com
The current maximum tolerated dose treatment paradigm for cancer and bacteria fails to
account for the capacity of these disease agents to evolve. When treatment fails to achieve …
account for the capacity of these disease agents to evolve. When treatment fails to achieve …
Identifying Significantly Perturbed Subnetworks in Cancer Using Multiple Protein–Protein Interaction Networks
Simple Summary Cancer research has been increasingly focusing on identifying genes and
molecular pathways that drive the disease. In this context, protein–protein interaction …
molecular pathways that drive the disease. In this context, protein–protein interaction …
Rethinking Cancer Gene Identification through Graph Anomaly Analysis
Graph neural networks (GNNs) have shown promise in integrating protein-protein
interaction (PPI) networks for identifying cancer genes in recent studies. However, due to the …
interaction (PPI) networks for identifying cancer genes in recent studies. However, due to the …
Construction of gene coexpression networks and transcriptomic analysis for Rhizobium leguminosarum
J Pardo Díaz - 2022 - ora.ox.ac.uk
Rhizobium leguminosarum is a soil bacteria which infects plants of the legume family such
as peas, lentils, and beans. When associated with the plant, R. leguminosarum fixes …
as peas, lentils, and beans. When associated with the plant, R. leguminosarum fixes …