Cargando…
A novel approach for data integration and disease subtyping
Advances in high-throughput technologies allow for measurements of many types of omics data, yet the meaningful integration of several different data types remains a significant challenge. Another important and difficult problem is the discovery of molecular disease subtypes characterized by relevan...
Autores principales: | Nguyen, Tin, Tagett, Rebecca, Diaz, Diana, Draghici, Sorin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5741060/ https://www.ncbi.nlm.nih.gov/pubmed/29066617 http://dx.doi.org/10.1101/gr.215129.116 |
Ejemplares similares
-
Overcoming the matched-sample bottleneck: an orthogonal approach to integrate omic data
por: Nguyen, Tin, et al.
Publicado: (2016) -
Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets
por: Arslanturk, Suzan, et al.
Publicado: (2020) -
SPATIAL: A System-level PAThway Impact AnaLysis approach
por: Bokanizad, Behzad, et al.
Publicado: (2016) -
SMRT: Randomized Data Transformation for Cancer Subtyping and Big Data Analysis
por: Nguyen, Hung, et al.
Publicado: (2021) -
Methods and approaches in the topology-based analysis of biological pathways
por: Mitrea, Cristina, et al.
Publicado: (2013)