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A methodology for the prediction of Embryophyta protein functions using mismatch kernels

Cardona-Escobar A.F.; Pineda-Iral J.C.; Guarnizo-Cutiva N.; Jaramillo-Garzón J.A. (2015)

Evaluation of Kernels Applied in Support Vector Machines in the Data Analysis of Organochlorines Exposure in Study of Biomarkers

Lopera-Rodríguez J.A.; Zuluaga M.; Jaramillo-Garzón J.A. (2020)

Feature extraction by statistical contact potentials and wavelet transform for predicting subcellular localizations in gram negative bacterial proteins

Arango-Argoty G.A.; Jaramillo-Garzón J.A.; Castellanos-Domínguez G. (2015)

Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins

Jaramillo-Garzón J.A.; Gallardo-Chacón J.J.; Castellanos-Domínguez C.G.; Perera-Lluna A. (2013)

Predicting sub-cellular location of proteins based on hierarchical clustering and hidden Markov models

Jaramillo-Garzón J.A.; Castro-Ceballos J.; Castellanos-Dominguez G. (2015)

Dynamic signature for a closed-set identification based on nonlinear analysis

Ahmedt-Aristizábal D.; Delgado-Trejos E.; Vargas-Bonilla J.F.; Jaramillo-Garzón J.A. (2011)

Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals

Pérez-Zapata A.F.; Cardona-Escobar A.F.; Jaramillo-Garzón J.A.; Díaz G.M. (2018)

Predicting molecular functions in plants using wavelet-based motifs

Arango-Argoty G.; Giraldo-Forero A.F.; Jaramillo-Garzón J.A.; Duque-Munõz L.; Castellanos-Dominguez G. (2013)

Applicability of semi-supervised learning assumptions for gene ontology terms prediction

Jaramillo-Garzón J.A.; Castellanos-Domínguez C.G.; Perera-Lluna A. (2016)

A methodology for optimizing the cost matrix in cost sensitive learning models applied to prediction of molecular functions in embryophyta plants

García-López S.; Jaramillo-Garzón J.A.; Duque-Muñoz L.; Castellanos-Doḿinguez C.G. (2013)

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