Retroactive data structure for protein–protein interaction in lung cancer using Dijkstra algorithm

…, E Rajasekar, S Ippatapu Venkata, S Chereddy - International Journal of …, 2024 - Springer
… In the case of cancer, it is genes that play a vital role in the early detection of … by these
genes are extracted from STRINGDB through an API call in the form of a PPI network. These …

Identification of Essential Cancer Protein in PPI Network Using Graph-Based Approach

T Rout, NRR Choudhury, SK Panda… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
… Li et al. proposed a graph-based method for identifying lung cancer-related genes in … a
Dijkstra-based shortest path algorithm in a PPI network to retrieve cancer genes for four cancer

A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices

T Rout, A Mohapatra, M Kar - Network Modeling Analysis in Health …, 2024 - Springer
cancer, cancer diseases, breast cancer, lung cancer, and … the PPI network and its relevance
to cancer-related processes. … the cancer PPI network, identifying cancer-associated modules…

Exploring lung cancer protein network: Understanding structure and function through metric space modeling

E Fadhal - European Journal of Pure and Applied Mathematics, 2024 - ejpam.com
… on the PPI network in lung cancer, aiming to identify key … modeled the lung cancer
protein-protein interaction network (… .org/) and executing the Dijkstra algorithm. This algorithm was …

Identification of Novel Breast Cancer Genes Based on Gene Expression Profiles and PPI Data

CW Yang, HH Cao, Y Guo, YM Feng… - Current …, 2019 - ingentaconnect.com
… proteins by the Dijkstra algorithm in the PPI network. Shortest path … is indicated that the
positive rates of ubiquitin in lung cancer compare to those in benign lesion tissues of the lung

[HTML][HTML] Identification of triple-negative breast cancer genes and a novel high-risk breast cancer prediction model development based on PPI data and support vector …

M Li, Y Guo, YM Feng, N Zhang - Frontiers in genetics, 2019 - frontiersin.org
… We searched the shortest paths between every pair of the 248 coding proteins by the
Dijkstra algorithm in the PPI network. Shortest path proteins were retrieved and were ranked in …

Graph theoretical way of understanding protein-protein interaction in ovarian cancer

V Yegnanarayanan… - Journal of Intelligent …, 2022 - content.iospress.com
… enabled the identification of tumor suppressor genes and … Dijkstras greedy algorithm is a
popular algorithm for finding … that are differential among cancer and normal PPI could be a …

Epigenome‐wide tobacco‐related methylation signature identification and their multilevel regulatory network inference for lung adenocarcinoma

YM Dong, M Li, QE He, YF Tong… - BioMed Research …, 2020 - Wiley Online Library
… The Dijkstra algorithm served to find the shortest path in the graph G … of the gene is greater
than or equal to 100, we found that the genes obtained by the BIMC gene and the PPI network

[HTML][HTML] Novel comprehensive bioinformatics approaches to determine the molecular genetic susceptibility profile of moderate and severe asthma

H Zayed - International Journal of Molecular Sciences, 2020 - mdpi.com
… -to-severe asthma-related DEGs using the PPI network. It also … The PPI network analysis,
among other genes, identified … the lungs are involved in the effects of cystic fibrosis, lung cancer

Exploring the significance of zone 1 in human protein interaction networks: Identifying potential therapeutic targets for cancer treatment.

HR Alqattan, E Fadhal - Onkologia i Radioterapia, 2023 - search.ebscohost.com
identify hub proteins in breast cancer PPIs, as well as key nodes associated with lung cancer
… /www.boost.org/) and implemented the Dijkstra algorithm. The purpose was to calculate the …