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...
Сохранить в:
Главные авторы: | Phạm, Quang Huy, Alioune Ngom, Luis Rueda |
---|---|
Формат: | Conference paper |
Язык: | English |
Опубликовано: |
Springer
2023
|
Предметы: | |
Online-ссылка: | https://scholar.dlu.edu.vn/handle/123456789/2695 |
Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
---|
Схожие документы
-
A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
по: Phạm, Quang Huy, et al.
Опубликовано: (2023) -
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
по: Phạm, Quang Huy, et al.
Опубликовано: (2023) -
A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability
по: Phạm, Quang Huy
Опубликовано: (2023) -
Machine Learning Approaches for Breast Cancer Survivability Prediction
по: Phạm, Quang Huy
Опубликовано: (2023) -
A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies
по: Tabl, Ashraf Abou, et al.
Опубликовано: (2023)