Selecting differentially expressed genes in samples subgroups on microarray data, Carina Silva

11 novembro 2018, 22:37 • Maria do Rosário De Oliveira Silva

Selecting differentially expressed genes in samples subgroups on microarray data

 

Carina Silva (Escola Superior de Tecnologia da Saúde de Lisboa do Instituto Politécnico de Lisboa e CEAUL)

 

November 15 (Thr.), 14:00 - Room P3.10 (Math. Building, IST, Av. Rovisco Pais, 1049-001 Lisboa)

 

A common task in analysing microarray data is to determine which genes are differentially expressed under two (or more) kinds of tissue samples or samples submitted under different experimental conditions. It is well known that biological samples are heterogeneous due to factors such as molecular subtypes or genetic background, which are often unknown to the investigator. For instance, in experiments which involve molecular classification of tumours it is important to identify significant subtypes of cancer. Bimodal or multimodal distributions often reflect the presence of subsamples mixtures.

Consequently, truly differentially expressed genes on sample subgroups may be lost if usual statistical approaches are used. In this work it is proposed a graphical tool which identifies genes with up and down regulation, as well as genes with differential expression which revels hidden subclasses, that are usually missed if current statistical methods are used.

 

https://math.tecnico.ulisboa.pt/seminars/pe/index?action=planned

 

LINK: Carina Silva

http://www.ceaul.fc.ul.pt/mbr.html?membro=carina.silva@estesl.ipl.pt

SLIDES: available here