Banca de QUALIFICAÇÃO: DANIEL HENRIQUE FERREIRA GOMES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : DANIEL HENRIQUE FERREIRA GOMES
DATE: 26/02/2024
TIME: 14:00
LOCAL: Google Meet, https://meet.google.com/xty-tngp-smj
TITLE:

Integrative Analysis of Genomic Data: Mitochondria, Genetic Variants in Gastric Cancer, and Prediction Tool

KEY WORDS:

Mitogenoma; Gastric Cancer; Machine Learning; Mobile Application

PAGES: 42
BIG AREA: Ciências Biológicas
AREA: Biologia Geral
SUMMARY:

The explosion of genomic data in recent decades has presented a substantial challenge, requiring new approaches for efficient analysis and interpretation. This research emerges in this context, offering comprehensive bioinformatics analysis, exploring various facets of genomics and its relevance to health. The study encompasses the analysis of mitochondrial genomes of Amazonian species, the investigation of genetic variants and their correlation with the survival of gastric cancer patients in Natal-RN, and the development of the DTreePred application, designed to predict the pathogenicity of these variants. Additionally, the results of the analysis of gastric cancer patients in Belém-PA are discussed, employing machine learning for disease detection based on genetic variants. To validate the AI models developed based on the Pará population, public samples of Korean patients with and without gastric cancer were used. It is noteworthy that the most effective models achieved an accuracy of over 90% in classifying Korean patients as normal or cancer patients. This research thus highlights the productive integration of bioinformatics techniques in genomic research and the understanding of complex diseases, representing significant advances in the fields of health and genomics.

COMMITTEE MEMBERS:
Interna - 1365498 - BEATRIZ STRANSKY FERREIRA
Presidente - 2170415 - Jorge Estefano de Santana Souza