Cargando…
A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation
BACKGROUND: DNA Methylation is one of the most important epigenetic processes that are crucial to regulating the functioning of the human genome without altering the DNA sequence. DNA Methylation data for cancer patients are becoming more accessible than ever, which is attributed to newer DNA sequen...
Autores principales: | Eissa, Noureldin S., Khairuddin, Uswah, Yusof, Rubiyah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275179/ https://www.ncbi.nlm.nih.gov/pubmed/35818034 http://dx.doi.org/10.1186/s12859-022-04815-7 |
Ejemplares similares
-
Metaheuristics with Deep Learning-Enabled Parkinson's Disease Diagnosis and Classification Model
por: Bahaddad, Adel A., et al.
Publicado: (2022) -
Hybrid Metaheuristics
por: Talbi, El-Ghazali
Publicado: (2013) -
An Efficient Optimization Method for Solving Unsupervised Data Classification Problems
por: Shabanzadeh, Parvaneh, et al.
Publicado: (2015) -
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm
por: Thirumalaisamy, Selvakumar, et al.
Publicado: (2023) -
DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning
por: Liu, Biao, et al.
Publicado: (2019)