In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development

In silico Pathway Activation Network Decomposition Analysis (iPANDA) as a method for biomarker development

Pathway analysis aids interpretation of large-scale gene expression data, but existing algorithms fall short of providing robust pathway identification. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for...

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Autores principales: Ivan V. Ozerov, Ksenia V. Lezhnina, Evgeny Izumchenko, Artem V. Artemov, Sergey Medintsev, Quentin Vanhaelen, Alexander Aliper, Jan Vijg, Andreyan N. Osipov, Ivan Labat, Michael D. West, Anton Buzdin, Charles R. Cantor, Yuri Nikolsky, Nikolay Borisov, Irina Irincheeva, Edward Khokhlovich, David Sidransky, Miguel Luiz Camargo, Alex Zhavoronkov
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
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Science
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Acceso en línea:https://doaj.org/article/2c57748e19064775b999e9d5f44aa2b9
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Sumario:Pathway analysis aids interpretation of large-scale gene expression data, but existing algorithms fall short of providing robust pathway identification. The method introduced here includes coexpression analysis and gene importance estimation to robustly identify relevant pathways and biomarkers for patient stratification.

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