Deep learning approaches to predict clinical outcomes of cancer patients from multi-omics data
Cancer is a concerning disease for many people nowadays because of its high mortality rate and its high occurrence. It is a very complex disease because the causes of cancer can be the many different possible combinations of interactions between different biological entities. Accurate prediction of...
Saved in:
Main Author: | Wu, Lue |
---|---|
Other Authors: | Jagath C Rajapakse |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/138003 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Network-based integration of multi-omics data for clinical outcome prediction in neuroblastoma
by: Wang, Conghao, et al.
Published: (2023) -
Deep learning approaches to predict drug responses in cancer using a multi-omics approach
by: Lyu, Xintong
Published: (2020) -
Machine learning approaches to predict drug responses in cancer from multi-omics data
by: Muhammad Zaki Bin Mohammad Bakri
Published: (2023) -
Deep learning approaches for predicting drug responses from multi-omics features
by: Sneha, Palaniappan
Published: (2021) -
NEW METHODS FOR OMICS AND PHARMACEUTICAL DEEP LEARNING
by: SHEN WANXIANG
Published: (2022)