Jorge Alberto Jaramillo-Garzón

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Proteins are the key elements on the path from genetic information to the development of life. The roles played by the different proteins are difficult to uncover experimentally as this process involves complex procedures such as genetic modifications, injection of fluorescent proteins, gene knock-out methods and others. The knowledge learned from each(More)
An analysis of the predictability of subcellular locations is performed by using simple pattern recognition techniques in an attempt to capture the real dimensions of the problem at hand. Results show that there are some particular locations that does not need of high complexity classification models to be predicted with high accuracies, and some partial(More)
This work implements a type of string kernel called Mismatch kernel, together with a methodology involving Support Vector Machines (SVM) for solving 14 molecular function classification problems of land plants (Embryophyta). The implemented methodology uses metaheuristic bio-inspired algorithms for finding optimal hyperparameters of the SVM, to solve the(More)
This paper presents a comparison of three strategies for managing the imbalance problem: undersampling, SMOTE and Weighted SVM. Undersampling is a strategy where the samples of the majority class are discarded; SMOTE (Synthetic Minority Over-sampling Technique) is a method in which synthetic samples of the minority class are added to the dataset; Weighted(More)
Predicting the localization of a protein has become a useful practice for inferring its function. Most of the reported methods to predict subcellular localizations in Gram-negative bacterial proteins make use of standard protein representations that generally do not take into account the distribution of the amino acids and the structural information of the(More)
In this paper, a SVM-based method is implemented for the prediction of protein-protein interactions. This model is initially trained with a set of over 69.000 pairs of protein sequences based on documented positive interactions. Then, a cross-validation method is performed for estimating the accuracy of the system, showing acceptable performances in terms(More)
This paper describes the procedure for obtaining ground prospections using seismic-acoustic signals, oriented to the detection of buried objects located at the ground surface. The presented methodology uses a Helmholtz resonator as the source of perturbation and a set of omnidirectional microphones used as sensors for detecting reflections of the(More)