Metastatic heterogeneity of breast cancer: Molecular mechanism and potential therapeutic targets

Y Liang, H Zhang, X Song, Q Yang - Seminars in cancer biology, 2020 - Elsevier
Breast cancer is one of the most common malignancies among women throughout the world
and is the major cause of most cancer-related deaths. Several explanations account for the …

Network approaches for modeling the effect of drugs and diseases

TJ Rintala, A Ghosh, V Fortino - Briefings in Bioinformatics, 2022 - academic.oup.com
The network approach is quickly becoming a fundamental building block of computational
methods aiming at elucidating the mechanism of action (MoA) and therapeutic effect of …

SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma

E Liu, ZZ Zhang, X Cheng, X Liu, L Cheng - BMC Medical Genomics, 2020 - Springer
Background Pancreatic ductal adenocarcinoma (PDAC) is the most common pancreatic
malignancy. Due to its wide heterogeneity, PDAC acts aggressively and responds poorly to …

Chaotic quasi-opposition marine predator algorithm for automatic data clustering

MW Ouertani, G Manita, A Chhabra, O Korbaa - Cluster Computing, 2025 - Springer
This paper presents a novel approach to data clustering by introducing the Chaotic Quasi-
Opposition-Based Learning Marine Predators Algorithm (CQOBLMPA). The primary …

Biomolecular databases and subnetwork identification approaches of interest to big data community: an expert review

O Al-Harazi, A El Allali, D Colak - Omics: a journal of integrative …, 2019 - liebertpub.com
Next-generation sequencing approaches and genome-wide studies have become essential
for characterizing the mechanisms of human diseases. Consequently, many researchers …

Computational cancer cell models to guide precision breast cancer medicine

L Cheng, A Majumdar, D Stover, S Wu, Y Lu, L Li - Genes, 2020 - mdpi.com
Background: Large-scale screening of drug sensitivity on cancer cell models can mimic in
vivo cellular behavior providing wider scope for biological research on cancer. Since the …

Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer

M Kim, S Lee, S Lim, DY Lee, S Kim - Scientific reports, 2021 - nature.com
Cervical lymph node metastasis is the leading cause of poor prognosis in oral tongue
squamous cell carcinoma and also occurs in the early stages. The current clinical diagnosis …

EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma

B Shao, MM Bjaanæs, Å Helland, C Schütte, T Conrad - PloS one, 2019 - journals.plos.org
Various feature selection algorithms have been proposed to identify cancer prognostic
biomarkers. In recent years, however, their reproducibility is criticized. The performance of …

Smell Detection Agent Optimisation Framework and Systems Biology Approach to Detect Dys-Regulated Subnetwork in Cancer Data

SL Sivan, VCS Sukumara Pillai - Biomolecules, 2021 - mdpi.com
Network biology has become a key tool in unravelling the mechanisms of complex diseases.
Detecting dys-regulated subnetworks from molecular networks is a task that needs efficient …

[PDF][PDF] Gene Expression–Based Algorithms For The Identification Of Drug Combinations In Personalized Medicine

L Fong - 2023 - digitalcommons.library.tmc.edu
Predictive genomic biomarkers, often genomic aberrations such as mutations or
copynumber alterations with an associated targeted therapy (ie, actionable genomic …