Cargando…
Associating expression and genomic data using co-occurrence measures
ABSTRACT: Recent technological evolutions have led to an exponential increase in data in all the omics fields. It is expected that integration of these different data sources, will drastically enhance our knowledge of the biological mechanisms behind genomic diseases such as cancer. However, the int...
Autores principales: | Larmuseau, Maarten, Verbeke, Lieven P. C., Marchal, Kathleen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6507230/ https://www.ncbi.nlm.nih.gov/pubmed/31072345 http://dx.doi.org/10.1186/s13062-019-0240-2 |
Ejemplares similares
-
Network-Based Analysis to Identify Drivers of Metastatic Prostate Cancer Using GoNetic
por: de Schaetzen van Brienen, Louise, et al.
Publicado: (2021) -
Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration
por: Verbeke, Lieven P. C., et al.
Publicado: (2015) -
Extracting functional insights from loss-of-function screens using deep link prediction
por: Strybol, Pieter-Paul, et al.
Publicado: (2022) -
SomInaClust: detection of cancer genes based on somatic mutation patterns of inactivation and clustering
por: Van den Eynden, Jimmy, et al.
Publicado: (2015) -
AMY-tree: an algorithm to use whole genome SNP calling for Y chromosomal phylogenetic applications
por: Van Geystelen, Anneleen, et al.
Publicado: (2013)