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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Cell Cycle
मुख्य लेखकों: 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
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Taylor & Francis 2017
विषय:
Reports
ऑनलाइन पहुंच: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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