A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
We introduce a network-based approach to identify subnets of functionally-related genes for predicting 5-year survivability of breast cancer patients treated with chemotherapy, hormone therapy, and a combination of these. A gene expression dataset and a protein-protein interaction network are integr...
Na minha lista:
Principais autores: | Phạm, Quang Huy, Alioune Ngom, Luis Rueda |
---|---|
Formato: | Conference paper |
Idioma: | English |
Publicado em: |
Springer
2023
|
Assuntos: | |
Acesso em linha: | https://scholar.dlu.edu.vn/handle/123456789/2695 |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Registros relacionados
-
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
por: Phạm, Quang Huy, et al.
Publicado em: (2023) -
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
por: Phạm, Quang Huy, et al.
Publicado em: (2023) -
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
por: Phạm, Quang Huy
Publicado em: (2023) -
Machine Learning Approaches for Breast Cancer Survivability Prediction
por: Phạm, Quang Huy
Publicado em: (2023) -
A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies
por: Tabl, Ashraf Abou, et al.
Publicado em: (2023)