Cargando…
Gene Expression Music Algorithm-Based Characterization of the Ewing Sarcoma Stem Cell Signature
Gene Expression Music Algorithm (GEMusicA) is a method for the transformation of DNA microarray data into melodies that can be used for the characterization of differentially expressed genes. Using this method we compared gene expression profiles from endothelial cells (EC), hematopoietic stem cells...
Autor principal: | Staege, Martin Sebastian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944079/ https://www.ncbi.nlm.nih.gov/pubmed/27446218 http://dx.doi.org/10.1155/2016/7674824 |
Ejemplares similares
-
Immunostimulation by OX40 Ligand Transgenic Ewing Sarcoma Cells
por: Reuter, Dajana, et al.
Publicado: (2015) -
Characterization of myeloid signature genes for predicting prognosis and immune landscape in Ewing sarcoma
por: Zhang, Zhao, et al.
Publicado: (2022) -
A short treatise concerning a musical approach for the interpretation of gene expression data
por: Staege, Martin S.
Publicado: (2015) -
Construction of a prognostic signature in Ewing's sarcoma: Based on metabolism-related genes
por: Fu, Zhaoyu, et al.
Publicado: (2021) -
Gene expression signature based screening identifies ribonucleotide reductase as a candidate therapeutic target in Ewing sarcoma
por: Goss, Kelli L., et al.
Publicado: (2016)