Identifying Network Biomarkers for Each Breast Cancer Subtypes Along with Their Effective Single and Paired Repurposed Drugs Using Network-Based Machine …

F Firoozbakht - 2022 - search.proquest.com
Breast cancer is a complex disease that can be classified into at least 10 different molecular
subtypes. Appropriate diagnosis of specific subtypes is critical for ensuring the best possible …

An integrative approach for identifying network biomarkers of breast cancer subtypes using genomic, interactomic, and transcriptomic data

F Firoozbakht, I Rezaeian, M D'agnillo… - Journal of …, 2017 - liebertpub.com
Breast cancer is a complex disease that can be classified into at least 10 different molecular
subtypes. Appropriate diagnosis of specific subtypes is critical for ensuring the best possible …

A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability

HQ Pham, J Guba, M Gawanmeh, LA Porter… - Proceedings of the 10th …, 2019 - dl.acm.org
Identifying biomarkers for better diagnosis or prognosis of breast cancer is in demand but
presents many challenges. In this study, we introduced a data-integration approach to …

Gene Expression Profiles Reveal Potential Targets for Breast Cancer Diagnosis and Treatment

MH Nasirpour, M Sabery Anvar, N Alireza, S Mahdieh… - bioRxiv, 2022 - biorxiv.org
Figuring out the molecular mechanisms underlying breast cancer is essential for the
diagnosis and treatment of this invasive disorder. Hence it is important to identify the most …

De Novo pathway-based classification of breast cancer subtypes

M List, N Alcaraz, R Batra - Protein-Protein Interaction Networks: Methods …, 2020 - Springer
Breast cancer is a heterogeneous disease for which various clinically relevant subtypes
have been reported. These subtypes are characterized by molecular differences which …

A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer

C Staiger, S Cadot, R Kooter, M Dittrich, T Müller… - PloS one, 2012 - journals.plos.org
Recently, several classifiers that combine primary tumor data, like gene expression data,
and secondary data sources, such as protein-protein interaction networks, have been …

A machine learning approach for identifying gene biomarkers guiding the treatment of breast cancer

AA Tabl, A Alkhateeb, W ElMaraghy, L Rueda… - Frontiers in …, 2019 - frontiersin.org
Genomic profiles among different breast cancer survivors who received similar treatment
may provide clues about the key biological processes involved in the cells and finding the …

[PDF][PDF] systems biology approach to studying proliferation-dependent prognostic subnetworks in breast cancer

LD Miller, X Zhou - academia.edu
Results subnetwork signatures characteristic of proliferation tertiles. In spite of the various
studies that have identified gene signatures that can predict and distinguish patient …

Integrated diagnostic network construction reveals a 4-gene panel and 5 cancer hallmarks driving breast cancer heterogeneity

X Dai, T Hua, T Hong - Scientific Reports, 2017 - nature.com
Breast cancer encompasses a group of heterogeneous diseases, each associated with
distinct clinical implications. Dozens of molecular biomarkers capable of categorizing tumors …

Module-based breast cancer classification

Y Zhang, J Xuan, R Clarke… - International journal of …, 2013 - inderscienceonline.com
The reliability and reproducibility of gene biomarkers for classification of cancer patients has
been challenged due to measurement noise and biological heterogeneity among patients …