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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Published in: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
Format: Artigo
Language:Inglês
Published: Taylor & Francis 2017
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Online Access: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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