Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data

High throughput technologies opened a new era in biomedicine by enabling massive analysis of gene expression at both RNA and protein levels. Unfortunately, expression data obtained in different experiments are often poorly compatible, even for the same biologic samples. Here, using experimental and...

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Detalhes bibliográficos
Publicado no:Cell Cycle
Main Authors: Borisov, Nicolas, Suntsova, Maria, Sorokin, Maxim, Garazha, Andrew, Kovalchuk, Olga, Aliper, Alexander, Ilnitskaya, Elena, Lezhnina, Ksenia, Korzinkin, Mikhail, Tkachev, Victor, Saenko, Vyacheslav, Saenko, Yury, Sokov, Dmitry G., Gaifullin, Nurshat M., Kashintsev, Kirill, Shirokorad, Valery, Shabalina, Irina, Zhavoronkov, Alex, Mishra, Bhubaneswar, Cantor, Charles R., Buzdin, Anton
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis 2017
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Reports
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5628641/
https://ncbi.nlm.nih.gov/pubmed/28825872
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/15384101.2017.1361068
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