i-Modern: Integrated multi-omics network model identifies potential therapeutic targets in glioma by deep learning with interpretability
Effective and precise classification of glioma patients for their disease risks is critical to improving early diagnosis and patient survival. In the recent past, a significant amount of multi-omics data derived from cancer patients has emerged. However, a robust framework for integrating multi-omic...
Main Authors: | Xingxin Pan, Brandon Burgman, Erxi Wu, Jason H. Huang, Nidhi Sahni, S. Stephen Yi |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-01-01
|
Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037022002720 |
Similar Items
-
From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer
by: Ekaterina Nevedomskaya, et al.
Published: (2022-06-01) -
Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature
by: Lucia Martin-Gutierrez, et al.
Published: (2022-07-01) -
Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy
by: Xianlei Yan, et al.
Published: (2023-12-01) -
Multi-Omics Integration Analysis of TK1 in Glioma: A Potential Biomarker for Predictive, Preventive, and Personalized Medical Approaches
by: Chuan Shao, et al.
Published: (2023-01-01) -
Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
by: Xiang Deng, et al.
Published: (2023-07-01)