GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets

BACKGROUND: Meta-analysis of gene expression microarray datasets presents significant challenges for statistical analysis. We developed and validated a new bioinformatic method for the identification of genes upregulated in subsets of samples of a given tumour type (‘outlier genes’), a hallmark of p...

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Detalles Bibliográficos
Autores principales: Mpindi, John Patrick, Sara, Henri, Haapa-Paananen, Saija, Kilpinen, Sami, Pisto, Tommi, Bucher, Elmar, Ojala, Kalle, Iljin, Kristiina, Vainio, Paula, Björkman, Mari, Gupta, Santosh, Kohonen, Pekka, Nees, Matthias, Kallioniemi, Olli
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041823/
https://www.ncbi.nlm.nih.gov/pubmed/21365010
http://dx.doi.org/10.1371/journal.pone.0017259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041823/
https://www.ncbi.nlm.nih.gov/pubmed/21365010
http://dx.doi.org/10.1371/journal.pone.0017259

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