Tesi etd-11132023-155140 |
Link copiato negli appunti
Tipo di tesi
Tesi di laurea magistrale
Autore
PALUMBO, MARCO
URN
etd-11132023-155140
Titolo
Gene Selection Analysis of Expression Data for Investigating Effects of Orally-delivered APOA-IM Protein
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. Bechini, Alessio
correlatore Prof. Piaggi, Paolo
correlatore Prof. Giovannoni, Roberto
correlatore Prof. Piaggi, Paolo
correlatore Prof. Giovannoni, Roberto
Parole chiave
- apolipoprotein a1 milano
- differentially expressed genes
- feature selection
- gene expression analysis
- genomic dataset
- microarray
- mus musculus
- pathway enrichment analysis
Data inizio appello
01/12/2023
Consultabilità
Non consultabile
Data di rilascio
01/12/2093
Riassunto
To find treatments for a wide range of diseases, it is necessary to address the feasibility of novel therapies based on the administration of specific proteins; this field of research increasingly requires to be faced by a genome-wide point of view. Microarray and RNA-Seq experiments allow the collection of such data, but they are affected by the so-called curse of dimensionality; so, it is important to develop new approaches to analyze genomic datasets. In this dissertation, we present a study to investigate, through the analysis of a microarray experiment, the effects of the APOA-IM protein in organisms with lipids metabolism disorders, atherosclerosis, and non-alcoholic steatohepatitis. A statistical approach is performed to apply the Gene Expression Analysis; the aim is to find, inside the microarray dataset, those genes that are differentially expressed in response to the consumption of the protein; moreover, a simple procedure to perform the Pathway Enrichment Analysis is carried on, to find the most significant biological processes underlying the data collected within the microarray. To discuss the techniques used and the results obtained, some algorithmic and biological considerations are finally described.
File
Nome file | Dimensione |
---|---|
Tesi non consultabile. |