Stochastic rank aggregation for the identification of functional neuromarkers
Paola Galdi, Michele Fratello, Francesca Trojsi, Antonio Russo, Gioacchino Tedeschi, Roberto Tagliaferri, Fabrizio Esposito
This paper introduces a method using clustering and stochastic rank aggregation to identify functional neuromarkers in resting-state fMRI data, finding distinct parcel rankings between healthy controls and patients with Parkinson's disease and amyotrophic lateral sclerosis.
Neuroinformatics · Jan 2, 2019Peer-reviewedNeuroscience