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 …
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 …
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 …
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 …
diagnosis and treatment of this invasive disorder. Hence it is important to identify the most …
De Novo pathway-based classification of breast cancer subtypes
Breast cancer is a heterogeneous disease for which various clinically relevant subtypes
have been reported. These subtypes are characterized by molecular differences which …
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 …
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
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 …
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
Results subnetwork signatures characteristic of proliferation tertiles. In spite of the various
studies that have identified gene signatures that can predict and distinguish patient …
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 …
distinct clinical implications. Dozens of molecular biomarkers capable of categorizing tumors …
Module-based breast cancer classification
The reliability and reproducibility of gene biomarkers for classification of cancer patients has
been challenged due to measurement noise and biological heterogeneity among patients …
been challenged due to measurement noise and biological heterogeneity among patients …