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Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection
(Royal Society of Chemistry, 2014-01-14)
[Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ...
Example-Based Learning: Development of Business Applications witn .Net Technologies
(Universidad Peruana de Ciencias Aplicadas, 2015-06)
[Abstract] For a long time, J2EE has been the dominating framework for the development of business
applications. This fact resulted in a rich ecosystem of tools, manuals, tutorials, etc. that explain
different implementation ...
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
(MDPI, 2019)
[Abstract] In this work, we improved a previous model used for the prediction of proteomes as new
B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its
sequence, a known ...
Two-Dimensional Gel Electrophoresis Image Registration Using Block-Matching Techniques and Deformation Models
(Elsevier, 2014-03-05)
[Abstract] Block-matching techniques have been widely used in the task of estimating displacement in medical images, and they represent the best approach in scenes with deformable structures such as tissues, fluids, and ...
Developing a Secure Low-Cost Radon Monitoring System
(MDPI AG, 2020-01-29)
[Abstract] Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain ...
Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net
(Universidad Peruana de Ciencias Aplicadas, 2015-06)
[Resumen]
El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de
aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas,
manuales, tutoriales, ...
Automatic Seizure Detection Based on Star Graph Topological Indices
(Elsevier, 2012-08-15)
[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
Artificial cells for information processing: iris classification
(Springer, 2011-06-01)
[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene ...
Machine Learning-Based Radon Monitoring System
(MDPI, 2022)
[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...
Integrative Multi-Omics Data-Driven Approach for Metastasis Prediction in Cancer
(ACM, 2018)
[Abstract]
Nowadays biomedical research is generating huge amounts of omic data, covering all levels of genetic information from nucleotide sequencing to protein metabolism. In the beginning, data were analyzed independently ...