Cargando…
Detection of biomarkers for Hepatocellular Carcinoma using a hybrid univariate gene selection methods
BACKGROUND: Discovering new biomarkers has a great role in improving early diagnosis of Hepatocellular carcinoma (HCC). The experimental determination of biomarkers needs a lot of time and money. This motivates this work to use in-silico prediction of biomarkers to reduce the number of experiments r...
Autores principales: | Abdel Samee, Nagwan M, Solouma, Nahed H, Kadah, Yasser M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570375/ https://www.ncbi.nlm.nih.gov/pubmed/22867264 http://dx.doi.org/10.1186/1742-4682-9-34 |
Ejemplares similares
-
Construction of gene regulatory networks using biclustering and bayesian networks
por: Alakwaa, Fadhl M, et al.
Publicado: (2011) -
A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms
por: Samee, Nagwan Abdel, et al.
Publicado: (2022) -
A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification
por: Houssein, Essam H., et al.
Publicado: (2023) -
BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images
por: Atteia, Ghada, et al.
Publicado: (2022) -
Improving the prediction of yeast protein function using weighted protein-protein interactions
por: Ahmed, Khaled S, et al.
Publicado: (2011)