A method to improve the prediction performance of cancer-gene association by screening negative training samples through gene network data
This work focuses on data sampling in cancer-gene association prediction. Currently, researchers are using machine learning methods to predict genes that are more likely to produce cancer-causing mutations. To improve the performance of machine learning models, methods have been proposed, one of whi...
Saved in:
Main Authors: | Xu, Mingzhe, Abdullah, Nor Aniza, Md Sabri, Aznul Qalid |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/44823/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Gene prediction system
by: S.R.M., Shukri, et al.
Published: (2008) -
Autism classification and monitoring from predicted categorical and dimensional emotions of video features
by: Khor, Stephen Wen Hwooi, et al.
Published: (2024) -
Deep learning-based approach for continuous affect prediction from facial expression images in valence-arousal space
by: Hwooi, Stephen Khor Wen, et al.
Published: (2022) -
Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine
by: Machap, Logenthiran
Published: (2021) -
Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2007)