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Overview of Some Interesting Statistical Problems in Biochemical Analysis of Glycans (CROSBI ID 635344)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Ugrina, Ivo Overview of Some Interesting Statistical Problems in Biochemical Analysis of Glycans // Proceedings of the 19th European Young Statisticians Meeting / Stanislav Nagy (ur.). Prag: MATFYZPRESS, 2015. str. 146-150

Podaci o odgovornosti

Ugrina, Ivo

engleski

Overview of Some Interesting Statistical Problems in Biochemical Analysis of Glycans

Glycomics is rapidly emerging field in high-throughput biology that aims to systematically study glycan structures of a given protein, cell type or organic system. As within other high-throughput methods in biology (microarrays, metabolomics, proteomics), accuracy of high-throughput methods is highly affected by complicated experimental procedures leading to differences between replicates and the existence of batch effects, among others. Study of appropriate methods for normalization, appropriate designs of experiments and batch removal methods tailored to the needs of glycomics is therefore a necessity.

batch effects; normalization; noise; glycomics

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Podaci o prilogu

146-150.

2015.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 19th European Young Statisticians Meeting

Stanislav Nagy

Prag: MATFYZPRESS

978- 80-7378-301-3

Podaci o skupu

19th European Young Statisticians Meeting

pozvano predavanje

31.08.2015-04.09.2015

Prag, Češka Republika

Povezanost rada

Kemija, Matematika, Biologija