3 documents found, page 1 of 1
Machine Learning Solutions Applied to Amyotrophic Lateral Sclerosis Prognosis: ...
Papaiz, Fabiano; Dourado, Mario Emílio Teixeira; Valentim, Ricardo Alexsandro de Medeiros; de Morais, Antonio Higor Freire; Arrais, Joel PerdizThe prognosis of Amyotrophic Lateral Sclerosis (ALS), a complex and rare disease, represents a challenging and essential task to better comprehend its progression and improve patients’ quality of life. The use of Machine Learning (ML) techniques in healthcare has produced valuable contributions to the prognosis field. This article presents a systematic and critical review of primary studies that used ML applied...
RecRWR: A Recursive Random Walk Method for Improved Identification of Diseases
Arrais, Joel Perdiz; Oliveira, José LuísHigh-throughput methods such as next-generation sequencing or DNA microarrays lack precision, as they return hundreds of genes for a single disease profile. Several computational methods applied to physical interaction of protein networks have been successfully used in identification of the best disease candidates for each expression profile. An open problem for these methods is the ability to combine and take ...
Sistemas de informação para DNA microarrays
Arrais, Joel PerdizO projecto de sequenciação do genoma humano veio abrir caminho para o surgimento de novas áreas transdisciplinares de investigação, como a biologia computacional, a bioinformática e a bioestatística. Um dos resultados emergentes desde advento foi a tecnologia de DNA microarrays, que permite o estudo do perfil da expressão de milhares de genes, quando sujeitos a perturbações externas. Apesar de ser uma tecnologi...