Cargando…
Prognostic model for multiple myeloma progression integrating gene expression and clinical features
BACKGROUND: Multiple myeloma (MM) is a hematological cancer caused by abnormal accumulation of monoclonal plasma cells in bone marrow. With the increase in treatment options, risk-adapted therapy is becoming more and more important. Survival analysis is commonly applied to study progression or other...
Autores principales: | Sun, Chen, Li, Hongyang, Mills, Ryan E, Guan, Yuanfang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6936209/ https://www.ncbi.nlm.nih.gov/pubmed/31886876 http://dx.doi.org/10.1093/gigascience/giz153 |
Ejemplares similares
-
Graph2GO: a multi-modal attributed network embedding method for inferring protein functions
por: Fan, Kunjie, et al.
Publicado: (2020) -
Perl module and PISE wrappers for the integrated analysis of sequence data and SNP features
por: Jayashree, B, et al.
Publicado: (2009) -
BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data
por: Gonçalves, Joana P, et al.
Publicado: (2009) -
Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use
por: van Laar, Ryan, et al.
Publicado: (2014) -
FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data
por: Manijak, Mieszko P, et al.
Publicado: (2011)