Learning Deep Features for DNA Methylation Data Analysis
Many studies demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer. There is a strong interest in analyzing the DNA methylation data to find how to distinguish different subtypes of the tumor. However, the conventional sta...
Main Authors: | Zhongwei Si, Hong Yu, Zhanyu Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7484730/ |
Similar Items
-
Malware Attack Detection in Large Scale Networks using the Ensemble Deep Restricted Boltzmann Machine
by: Janani Kumar, et al.
Published: (2023-10-01) -
Deep Belief Network Modeling for Automatic Liver Segmentation
by: Mubashir Ahmad, et al.
Published: (2019-01-01) -
Deep learning methods for protein torsion angle prediction
by: Haiou Li, et al.
Published: (2017-09-01) -
Is Deep Learning a Renormalization Group Flow?
by: Ellen De Mello Koch, et al.
Published: (2020-01-01) -
Enhanced technique for Arabic handwriting recognition using deep belief network and a morphological algorithm for solving ligature segmentation
by: Nada Essa, et al.
Published: (2018-12-01)