6 documents found, page 1 of 1
Erratum to: Mirnacle: machine learning with SMOTE and random forest for improvi...
Marques, Yuri Bento; Oliveira, Alcione de Paiva; Vasconcelos, Ana Tereza Ribeiro; Cerqueira, Fabio RibeiroMicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular biology nowadays. However, characterizing miRNAs in vivo is still a complex task. As a consequence, in silico methods have been developed to predict miRNA loci. A common ab initio strategy to ...
NICeSim: An open-source simulator based on machine learning techniques to suppo...
Cerqueira, Fabio Ribeiro; Ferreira, Tiago Geraldo; Oliveira, Alcione de Paiva; Augusto, Douglas Adriano; Krempser, Eduardo; Barbosa, Helio José CorrêaThis paper describes NICeSim, an open-source simulator that uses machine learning (ML) techniques to aid health professionals to better understand the treatment and prognosis of premature newborns. The application was developed and tested using data collected in a Brazilian hospital. The available data were used to feed an ML pipeline that was designed to create a simulator capable of predicting the outcome (de...
Artificial neural networks and medical education
Siqueira-Batista, Rodrigo; Vitorino, Rodrigo Roger; Gomes, Andréia Patrícia; Oliveira, Alcione de Paiva; Ferreira, Ricardo dos SantosThe transformations that medical practice has undergone in recent years – especially with the incorporation of new information technologies – point to the need to broaden discussions on the teaching-learning process in medical education. The use of new computer technologies in medical education has shown many advantages in the process of acquiring skills in problem solving, which encourages creativity, critical...
Rama: a machine learning approach for ribosomal protein prediction in plants
Carvalho, Thales Francisco Mota; Silva, José Cleydson F.; Calil, Iara Pinheiro; Fontes, Elizabeth Pacheco Batista; Cerqueira, Fabio RibeiroRibosomal proteins (RPs) play a fundamental role within all type of cells, as they are major components of ribosomes, which are essential for translation of mRNAs. Furthermore, these proteins are involved in various physiological and pathological processes. The intrinsic biological relevance of RPs motivated advanced studies for the identification of unrevealed RPs. In this work, we propose a new computational ...
Mirnacle: machine learning with SMOTE and random forest for improving selectivi...
Marques, Yuri Bento; Oliveira, Alcione de Paiva; Vasconcelos, Ana Tereza Ribeiro; Cerqueira, Fabio RibeiroMicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular biology nowadays. However, characterizing miRNAs in vivo is still a complex task. As a consequence, in silico methods have been developed to predict miRNA loci. A common ab initio strategy to ...
Montagem de fragmentos de DNA
Cerqueira, Fabio RibeiroOrientador: João Meidanis; Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação; Mestrado; Mestre em Ciência da Computação