Naslov
Correspondence analysis applied to large scale Evo-Devo data

Autori
Široki, Tin ; Koska, Sara ; Čorak, Nina ; Futo, Momir ; Domazet-Lošo, Tomislav ; Domazet-Lošo, Mirjana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
42th International Convention on Information, Communication and Electronic Technology (MIPRO) - proceedings / Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2019, 279-282

ISBN
978-953-233-098-4

Skup
42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2019)

Mjesto i datum
Opatija, Hrvatska, 20.05.2019. - 24.05.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
correspondence analysis ; evo-devo ; phylostratigraphy ; dimensionality reduction

Sažetak
Correspondence analysis (CA) is an exploratory method used for visualizing and understanding high dimensional data. It is mostly applied to contingency tables. Although the method has been used in various fields for decades, including bioinformatics, to our knowledge it has not yet been applied tothe evolutionary analysis ofgene expressiondata duringdevelopmental process. In this paperwe present the application of the CA method to linking evolutionaryage of genes and their developmental expression profiles. As a test dataset, we used evolutionary age of genes obtained by phylostratigraphicapproach and expression datacollected during development of a model microorganism. The obtained resultsshow that CA could complement current approaches for coupling evolutionary and developmental information at the molecular level.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Računarstvo

POVEZANOST RADA