Hromatogrāfiskās analīzes metodes un datu apstrādes algoritmu optimizācija biomarķieru kompleksa identifikācijai metabolomā

6533b7cffe1ef96bd1257e95

RESEARCH PRODUCT

Hromatogrāfiskās analīzes metodes un datu apstrādes algoritmu optimizācija biomarķieru kompleksa identifikācijai metabolomā

Andris Jankevics

subject

description

Modernās instrumentālās analīzes iekārtas paver plašas iespējas visaptverošai un kvantitatīvai daudzu metabolītu analīzei. Metabolomikas eksperimenta laikā tiek iegūti lieli datu apjomi. Metabolītu identificēšanas vai kvantificēšanas kvalitāte ir atkarīga no šo sarežģīto datu masīvu pareizas apstrādes. Šī pētījuma mērķis ir izstrādāt metabolomikas pētījumu stratēģiju 2. tipa diabēta metabolītu profilu izpētei. Urīna paraugu analīzei izmantota šķidrumu hromatogrāfijas ar masselektīvo detektēšanu instrumentālā metode (LC/MS). Lai iegūtu datu tabulas, kuras iespējams analizēt ar daudzdimensiju statistikas metodēm, apskatītas vairākas pieejas datu masīvu apstrādei un reducēšanai. Urīna paraugu metaboloma pētījumi deva plašāku izpratni par eksperimentālajiem pētījuma apstākļiem datu iegūšanai, apstrādei un biomarķieru identificēšanai.

year	journal	country	edition	language
2008-01-01

https://dspace.lu.lv/dspace/handle/7/21812

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