Stegmayer, G.'s publications with sinc(i)

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Publications in 2016
Evolutionary algorithm for metabolic pathways synthesis   sinc_GSM16a.pdf
M. Gerard, G. Stegmayer, D. H. Milone
XVII Simposio Argentino de Inteligencia Artificial - 45 Jornadas Argentinas de Informática, page 136--138 - 2016
Evolutionary algorithm for metabolic pathways synthesis   sinc_GSM16.doi sinc_GSM16.pdf
M. Gerard, G. Stegmayer, D. H. Milone
BioSystems, Volume 144, page 55--67 - 2016
Extreme learning machines for discovering gene regulatory networks from temporal profiles of expression   sinc_RMS16a.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
4th ISCB-LA Bioinformatics Conference, page 1--2 - 2016
MicroRNA discovery in the human parasite Echinococcus multilocularis from genome-wide data   sinc_KSMMYM16.doi sinc_KSMMYM16.pdf
L. Kamenetzky, G. Stegmayer, L. Maldonado, N. Macchiaroli, C. Yones, D. H. Milone
Genomics, Volume 107, Number 6, page 274--280 - 2016
Mining gene regulatory networks by neural modeling of expression timeseries   sinc_RMS16.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
XVII Simposio Argentino de Inteligencia Artificial - 45 Jornadas Argentinas de Informática, page 128--130 - 2016
New index for clustering validation with overlapped clusters   sinc_CSM16.doi sinc_CSM16.pdf
D. N. Campo, G. Stegmayer, D. H. Milone
Expert Systems With Applications, Volume 64, page 549--556 - 2016
Non-negative matrix factorization for prediction of gene annotations   sinc_DLSM16.pdf
L. Di Persia, G. Leale, G. Stegmayer, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
Novel microRNA discovery from genome-wide data: a computational pipeline with unsupervised machine learning   sinc_SYKMPRM16.pdf
G. Stegmayer, C. Yones, L. Kamenetzky, N. Macchiaroli, M. Perez, M. C. Rosenzvit, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
 
Publications in 2015
Cluster Ensembles for Big Data Mining Problems   sinc_PSM15.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Argentine Symposium on Big Data, 44 JAIIO (Argentine Conference on Informatics) - 2015
Discovering network relations in big time series with application to bioinformatics   sinc_RMS15.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
Primer Simposio Argentino de Grandes Datos AGRANDA 2015, 44 JAIIO Jornadas Argentinas de Informática, page 41--42 - 2015
EvoMS: an evolutionary tool to find de novo metabolic pathways.   GSM15.doi sinc_GSM15.pdf
M. Gerard, G. Stegmayer, D. H. Milone
BioSystems, Number 134, page 43--47 - 2015
Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement   LZPSBCBCRPZFMAVC15.doi LZPSBCBCRPZFMAVC15.pdf
M. G. López, M.I. Zanor, G.R. Pratta, G. Stegmayer, S.B. Boggio, M. Conte, L. Bermudez, C. Coluccio Leskow, G.R. Rodríguez, L.A. Picardi, R. Zorzoli, A. Fernie, D. H. Milone, R. Asís, E.M. Valle, F. Carrari
Metabolomics, Volume 11, Number 5, page 1416--1431 - oct 2015
Mining gene regulatory networks by neural modeling of expression time-series   RSM15.doi sinc_RSM15.pdf
M. Rubiolo, G. Stegmayer, D. H. Milone
IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 12, Number 6, page 1365--1373 - 2015
miRNAfe: a comprehensive tool for feature extraction in microRNA prediction   YSKM15a.doi mirnafe.http feature_list.pdf sinc_YSKM15a.pdf
C. Yones, G. Stegmayer, L. Kamenetzky, D. H. Milone
BioSystems, Volume 138, page 1--5 - oct 2015
miRNAfe: a tool for feature extraction in pre-miRNA prediction   sinc_YSKM15.pdf
C. Yones, G. Stegmayer, L. Kamenetzky, D. H. Milone
VI Argentinian Conference on Bioinformatics and Computational Biology - oct 2015
miRNAss: a semi-supervised approach for microRNA prediction   sinc_YSM15.pdf
C. Yones, G. Stegmayer, D. H. Milone
VI Argentinian Conference on Bioinformatics and Computational Biology - oct 2015
 
Publications in 2014
A Method to Improve the Analysis of Cluster Ensembles   sinc_PSM14.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Revista Iberoamericana de Inteligencia Artificial, Volume 17, Number 53, page 46--56 - 2014
Análisis de estabilidad en clusters solapados   sinc_CSM14.pdf
D. N. Campo, G. Stegmayer, D. H. Milone
Revista Iberoamericana de Inteligencia Artificial, Volume 17, Number 53, page 79--89 - 2014
Improving clustering with metabolic pathway data   MSLKC14.doi MSLKC14.http sinc_MSLKC14.pdf
D. H. Milone, G. Stegmayer, M. G. López, L. Kamenetzky, F. Carrari
BMC Bioinformatics, Volume 15, Number 101 - 2014
 
Publications in 2013
A novel clustering approach for biological data using a new distance based on Gene Ontology   sinc_LMBGS13.pdf
G. Leale, D. H. Milone, A Bayá, P. Granitto, G. Stegmayer
Argentine Symposium on Artificial Intelligence (ASAI 2013) - 42º JAIIO - 2013

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