Cargando…
ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers
BACKGROUND: With the explosion of genomic data over the last decade, there has been a tremendous amount of effort to understand the molecular basis of cancer using informatics approaches. However, this has proven to be extremely difficult primarily because of the varied etiology and vast genetic het...
Autores principales: | Das, Jishnu, Gayvert, Kaitlyn M, Bunea, Florentina, Wegkamp, Marten H, Yu, Haiyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392808/ https://www.ncbi.nlm.nih.gov/pubmed/25887568 http://dx.doi.org/10.1186/s12864-015-1465-9 |
Ejemplares similares
-
Predicting Cancer Prognosis Using Functional Genomics Data Sets
por: Das, Jishnu, et al.
Publicado: (2014) -
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets
por: Bing, Xin, et al.
Publicado: (2022) -
Latent Model-Based Clustering for Biological Discovery
por: Bing, Xin, et al.
Publicado: (2019) -
HINT: High-quality protein interactomes and their applications in understanding human disease
por: Das, Jishnu, et al.
Publicado: (2012) -
Selected Works of Willem van Zwet
por: Geer, Sara, et al.
Publicado: (2012)