Cargando…
In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers
BACKGROUND: Identification of specific biological functions, pathways, and appropriate prognostic biomarkers is essential to accurately predict the clinical outcomes of and apply efficient treatment for breast cancer patients. METHODS: To search for metastatic breast cancer-specific biological funct...
Autor principal: | Kim, Jongchan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235641/ https://www.ncbi.nlm.nih.gov/pubmed/34172056 http://dx.doi.org/10.1186/s12957-021-02301-7 |
Ejemplares similares
-
Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes
por: Joshi, Himanshu, et al.
Publicado: (2012) -
A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits
por: Battram, Thomas, et al.
Publicado: (2022) -
PyGNA: a unified framework for geneset network analysis
por: Fanfani, Viola, et al.
Publicado: (2020) -
Generation of human islet cell type-specific identity genesets
por: van Gurp, Léon, et al.
Publicado: (2022) -
Comparison of GENCODE and RefSeq gene annotation and the impact of reference geneset on variant effect prediction
por: Frankish, Adam, et al.
Publicado: (2015)