Cargando…
Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data
Alzheimer's disease (AD) is the most uncertain form of Dementia in terms of finding out the mechanism. AD does not have a vital genetic factor to relate to. There were no reliable techniques and methods to identify the genetic risk factors associated with AD in the past. Most of the data availa...
Autores principales: | Mahendran, Nivedhitha, Vincent P M, Durai Raj |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978469/ https://www.ncbi.nlm.nih.gov/pubmed/36874164 http://dx.doi.org/10.1016/j.csbj.2023.02.021 |
Ejemplares similares
-
Improving the Classification of Alzheimer’s Disease Using Hybrid Gene Selection Pipeline and Deep Learning
por: Mahendran, Nivedhitha, et al.
Publicado: (2021) -
Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions
por: Mahendran, Nivedhitha, et al.
Publicado: (2020) -
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder
por: Mahendran, Nivedhitha, et al.
Publicado: (2019) -
Performance Assessment of Certain Machine Learning Models for Predicting the Major Depressive Disorder among IT Professionals during Pandemic times
por: Vincent, P. M. Durai Raj, et al.
Publicado: (2021) -
Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer
por: Malik, Vidhi, et al.
Publicado: (2021)