Bruno Soleman Maritan, Giovanna Favaretto, Bruna Tarifa, Fernanda Menezes de Faria, Leonardo Ferreira Antônio, Mayra Folgosi Ricci, Gerardo Maria de Araújo Filho
Clinical and sociodemographic characteristics of patients with epilepsy attended at a regional reference psychiatric emergency unit
Epilepsy research
dimensionality reduction techniques essential analyzing large omics datasets biochemistry molecular biology principal component analysis tdistributed stochastic neighbor embedding uniform manifold approximation projection commonly used data visualization however methods challenging students without strong mathematical background study intuitive examples created using covid19 data help students understand core concepts behind techniques 4h practical session used examples demonstrate dimensionality reduction techniques 15 postgraduate students biomedical backgrounds using python jupyter notebooks goal demystify methods typically treated black boxes empower students generate interpret results assess impact approach conducted anonymous survey majority students agreed using computers enriched learning experience 67 jupyter notebooks valuable part class 66 additionally 60 students reported increased interest python 40 gained interest better understanding dimensionality reduction methods despite short duration course 40 students reported acquiring research skills necessary field analysis learning impacts approach needed believe sharing examples generated provide valuable resources others use interactive teaching environments examples highlight advantages limitations major dimensionality reduction methods used modern bioinformatics analysis easytounderstand way