Neural network model for integration and visualization of introgressed genome and metabolite data. - Georgina Stegmayer; Diego H. Milone; Laura Kamenetzky; Mariana G. Lopez; Fernando Carrari (IJCNN, 2009)

Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. - Diego H. Milone; Georgina Stegmayer; Matias Gerard; Laura Kamenetzky; Mariana G. Lopez; Fernando Carrari (Inteligencia Artif., 2009)

*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants. - Diego H. Milone; Georgina Stegmayer; Laura Kamenetzky; Mariana G. Lopez; Je Min Lee; James J. Giovannoni; Fernando Carrari (BMC Bioinform., 2010)

A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets. - Georgina Stegmayer; Diego H. Milone; Laura Kamenetzky; Mariana G. Lopez; Fernando Carrari (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction. - Diego H. Milone; Georgina Stegmayer; Laura Kamenetzky; Mariana G. Lopez; Fernando Carrari (Expert Syst. Appl., 2013)

Improving clustering with metabolic pathway data. - Diego H. Milone; Georgina Stegmayer; Mariana G. Lopez; Laura Kamenetzky; Fernando Carrari (BMC Bioinform., 2014)

miRNAfe: A comprehensive tool for feature extraction in microRNA prediction. - Cristian A. Yones; Georgina Stegmayer; Laura Kamenetzky; Diego H. Milone (Biosyst., 2015)

High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM. - Georgina Stegmayer; Cristian A. Yones; Laura Kamenetzky; Diego H. Milone (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Novel SARS-CoV-2 encoded small RNAs in the passage to humans. - Gabriela Alejandra Merino; Jonathan Raad; Leandro A Bugnon; Cristian A. Yones; Laura Kamenetzky; Juan Claus; Federico Ariel; Diego H. Milone; Georgina Stegmayer (Bioinform., 2021)