Cargando…
Novel Application of Junction Trees to the Interpretation of Epigenetic Differences among Lung Cancer Subtypes
In this era of precision medicine, understanding the epigenetic differences in lung cancer subtypes could lead to personalized therapies by possibly reversing these alterations. Traditional methods for analyzing microarray data rely on the use of known pathways. We propose a novel workflow, called J...
Autores principales: | Pineda, Arturo Lopez, Gopalakrishnan, Vanathi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525224/ https://www.ncbi.nlm.nih.gov/pubmed/26306226 |
Ejemplares similares
-
On Predicting lung cancer subtypes using ‘omic’ data from tumor and tumor-adjacent histologically-normal tissue
por: Pineda, Arturo López, et al.
Publicado: (2016) -
Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations
por: Torbati, Mahbaneh Eshaghzadeh, et al.
Publicado: (2016) -
cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification
por: Gopalakrishnan, Vanathi, et al.
Publicado: (2015) -
Application of an efficient Bayesian discretization method to biomedical data
por: Lustgarten, Jonathan L, et al.
Publicado: (2011) -
An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data
por: Liu, Yuzhe, et al.
Publicado: (2017)