Cargando…
An Evaluation of Gene Set Analysis for Biomarker Discovery with Applications to Myeloma Research
In this paper, we evaluate 15 methods for gene set analysis in microarray classification problems. We employ four datasets from myeloma research and three types of biological gene sets, encompassing a total of 12 scenarios. Taking a two-step approach, we first identify important genes within gene se...
Autores principales: | Qu, Pingping, Tian, Erming, Barlogie, Bart, Morgan, Gareth, Crowley, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120714/ http://dx.doi.org/10.1007/978-981-10-0126-0_25 |
Ejemplares similares
-
Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat
por: Stein, Caleb K, et al.
Publicado: (2015) -
Artesunate overcomes drug resistance in multiple myeloma by inducing mitochondrial stress and non-caspase apoptosis
por: Papanikolaou, Xenofon, et al.
Publicado: (2014) -
An acquired high-risk chromosome instability phenotype in multiple myeloma: Jumping 1q Syndrome
por: Sawyer, Jeffrey R., et al.
Publicado: (2019) -
Clinical Presentation and Gene Expression Profiling of Immunoglobulin
M Multiple Myeloma Compared With Other Myeloma Subtypes and Waldenström
Macroglobulinemia
por: Atrash, Shebli, et al.
Publicado: (2017) -
Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma
por: Heuck, C J, et al.
Publicado: (2014)