Perspectives and Potential of the Brain-Computer Interface by MUSSATTO, G. G., DE AVILA E SILVA, S.

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Facebook as a tool for knowledge sharing: an experience in a Brazilian early chilhood education public school by Priscila Marin Bernardi, Scheila de Avila e Silva

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Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters by Scheila de Avila e Silva, Günther J.L. Gerhardt, Sergio Echeverrigaray

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DNA structural and physical properties reveal peculiarities in promoter sequences of the bacterium Escherichia coli K-12 by Gustavo Sganzerla Martinez, Scheila de Ávila e Silva, Aditya Kumar, Ernesto Pérez-Rueda

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Bacillus subtilis promoter sequences data set for promoter prediction in Gram-positive bacteria by Rafael Vieira Coelho, Scheila de Avila e Silva, Sergio Echeverrigaray, Ana Paula Longaray Delamare

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Characterization of promoters in archaeal genomes based on DNA structural parameters by Gustavo Sganzerla Martinez, Sharmilee Sarkar, Aditya Kumar, Ernesto Pérez‐Rueda, Scheila de Avila e Silva

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Machine learning and statistics shape a novel path in archaeal promoter annotation by Gustavo Sganzerla Martinez, Ernesto Pérez-Rueda, Sharmilee Sarkar, Aditya Kumar, Scheila de Ávila e Silva

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Explainable artificial intelligence as a reliable annotator of archaeal promoter regions by Gustavo Sganzerla Martinez, Ernesto Perez-Rueda, Aditya Kumar, Sharmilee Sarkar, Scheila de Avila e Silva

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Identification of novel biomarkers with potential for diagnosis and prognosis of gastric cancer: a Bioinformatics Approach by Marcos Vinicius Rossetto, Fernanda Pessi de Abreu, Pedro Lenz Casa, Ivaine Tais Sauthier Sartor, Scheila de Avila e Silva

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Identification of novel biomarkers with potential for diagnosis and prognosis of gastric cancer: a Bioinformatics Approach by Marcos Vinicius Rossetto, Fernanda Pessi de Abreu, Pedro Lenz Casa, Ivaine Tais Sauthier Sartor, Scheila de Avila e Silva

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An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients by Gustavo Martinez, Alexis Garduno, Abdullah Mahmud-Al-Rafat, Ali Toloue Ostadgavahi, Ann Avery, Scheila de Avila e Silva, Rachael Cusack, Cheryl Cameron, Mark Cameron, Ignacio Martin-Loeches, David Kelvin

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Regionalização e Rede de Atenção à Saúde em Mato Grosso by Nereide Lúcia Martinelli, Alane Andréa Souza Costa, João Henrique G. Scatena, Nina Rosa Ferreira Soares, Simone Carvalho Charbel, Marta de Lima Castro, Maria Angelica dos Santos Spinelli, Virgínia de Albuquerque Mota, Lidiane Mara de Ávila e Silva

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