Cargando…
Cancer Subtype Discovery Using Prognosis-Enhanced Neural Network Classifier in Multigenomic Data
OBJECTIVE: The main objective in studying large-scale cancer omics is to identify molecular mechanisms of cancer and discover novel biomedical targets. This work not only discovers the cancer subtypes in genome scale data by using clustering and classification but also measures their accuracy. METHO...
Autores principales: | Vasudevan, Prasanna, Murugesan, Thangamani |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088521/ https://www.ncbi.nlm.nih.gov/pubmed/30092720 http://dx.doi.org/10.1177/1533033818790509 |
Ejemplares similares
-
Assessing the Association Between Lead Pollution and Risk of Alzheimer’s Disease by Integrating Multigenomics
por: Li, Chunying, et al.
Publicado: (2022) -
Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data
por: Lin, Yuqi, et al.
Publicado: (2020) -
Predicting Functional Alternative Splicing by Measuring RNA Selection Pressure from Multigenome Alignments
por: Lu, Hongchao, et al.
Publicado: (2009) -
Multigenomic Delineation of Plasmodium Species of the Laverania Subgenus Infecting Wild-Living Chimpanzees and Gorillas
por: Liu, Weimin, et al.
Publicado: (2016) -
Multigenome analysis implicates miniature inverted-repeat transposable elements (MITEs) in metabolic diversification in eudicots
por: Boutanaev, Alexander M., et al.
Publicado: (2018)