A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer

Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS) remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper

Análisis numérico de postpandeo de placas preconformadas.

En el presente trabajo fin de grado (TFG) se procede a elaborar un modelo de elementos finitos, con el fin de analizar el comportamiento a post-pandeo de cuatro placas preconformadas, de material compuesto, con diferentes laminados ante un estado de carga a compresión. Este TFG presenta cuatro partes diferenciadas. En la primera, se expone una introducción en la que se desarrolla el marco de trabajo, compuesta por una definición de objetivos y una revisión bibliográfica. Una segunda parte, donde se realiza el modelo de elementos finitos en el programa ABAQUS, que consta de varias etapas donde se incluyen todos los aspectos para el desarrollo de éstas. Después del desarrollo, se analizan los resultados obtenidos, comparándolos con los diferentes modelos previamente desarrollados. Finalmente, se expondrán las conclusiones en función de los resultados obtenidos y se comparan los modelos entre sí.This Project consist on developing a finite element model, in order to analyze postbuckling behavior of four plates of composite material with different laminated before a condition of load to compression. This project presents four perfectly differentiated parts. The first one is the introduction, which develops the frame of work, composed by a definition of aims and a brief review about the state of art. The second part, where describes the finite element model in ABAQUS, that it consists of several stages where includes all the aspects for its development. After the development of the model, the results are analyzed, comparing them with different models developed. Finally, the conclusions will be presented based on the results obtained and the models are compared with each other.Universidad de Sevilla. Grado en Ingeniería de Tecnologías Industriale

A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study

[EN] Gene selection (or feature selection) from DNA-microarray data can be focused on different techniques, which generally involve statistical tests, data mining and machine learning. In recent years there has been an increasing interest in using hybrid-technique sets to face the problem of meaningful gene selection; nevertheless, this issue remains a challenge. In an effort to address the situation, this paper proposes a novel hybrid framework based on data mining techniques and tuned to select gene subsets, which are meaningfully related to the target disease conducted in DNA-microarray experiments. For this purpose, the framework above deals with approaches such as statistical significance tests, cluster analysis, evolutionary computation, visual analytics and boundary points. The latter is the core technique of our proposal, allowing the framework to define two methods of gene selection. Another novelty of this work is the inclusion of the age of patients as an additional factor in our analysis, which can leading to gaining more insight into the disease. In fact, the results reached in this research have been very promising and have shown their biological validity. Hence, our proposal has resulted in a methodology that can be followed in the gene selection process from DNA-microarray data

Robots in Agriculture: State of Art and Practical Experiences

The presence of robots in agriculture has grown significantly in recent years, overcoming some of the challenges and complications of this field. This chapter aims to collect a complete and recent state of the art about the application of robots in agriculture. The work addresses this topic from two perspectives. On the one hand, it involves the disciplines that lead the automation of agriculture, such as precision agriculture and greenhouse farming, and collects the proposals for automatizing tasks like planting and harvesting, environmental monitoring and crop inspection and treatment. On the other hand, it compiles and analyses the robots that are proposed to accomplish these tasks: e.g. manipulators, ground vehicles and aerial robots. Additionally, the chapter reports with more detail some practical experiences about the application of robot teams to crop inspection and treatment in outdoor agriculture, as well as to environmental monitoring in greenhouse farming

An Ensemble Framework Coping with Instability in the Gene Selection Process

[EN] This paper proposes an ensemble framework for gene selection, which is aimed at addressing instability problems presented in the gene filtering task. The complex process of gene selection from gene expression data faces different instability problems from the informative gene subsets found by different filter methods. This makes the identification of significant genes by the experts difficult. The instability of results can come from filter methods, gene classifier methods, different datasets of the same disease and multiple valid groups of biomarkers. Even though there is a wide number of proposals, the complexity imposed by this problem remains a challenge today. This work proposes a framework involving five stages of gene filtering to discover biomarkers for diagnosis and classification tasks. This framework performs a process of stable feature selection, facing the problems above and, thus, providing a more suitable and reliable solution for clinical and research purposes. Our proposal involves a process of multistage gene filtering, in which several ensemble strategies for gene selection were added in such a way that different classifiers simultaneously assess gene subsets to face instability. Firstly, we apply an ensemble of recent gene selection methods to obtain diversity in the genes found (stability according to filter methods). Next, we apply an ensemble of known classifiers to filter genes relevant to all classifiers at a time (stability according to classification methods). The achieved results were evaluated in two different datasets of the same disease (pancreatic ductal adenocarcinoma), in search of stability according to the disease, for which promising results were achieved

Towards Airborne Thermography via Low-Cost Thermopile Infrared Sensors

International audienceThis paper presents a novel tool capable of collecting thermal signatures inside a building by using low-cost IR temperature sensors mounted on-board an aerial platform. The proposed system aims to facilitate the detection of heat loss inside buildings, which is a key aspect for improving energy efficiency in large commercial or industrial buildings. Current detection systems usually require manual labor as well as the use of expensive instrumentation. The proposed system on the other hand, relies on the use of a small unmanned aerial vehicle carrying low-cost thermopile IR sensors. Moreover, the system delivers a fast temperature sensing scheme and it provides coverage to inaccessible areas, thus overcoming the limitations of current mobile platforms which use ground robots. Different experiments were carried out in order to assess the behavior of the sensors as well as to validate the full system. Moreover, the hypothesis that thermopile IR sensors can be used to track temperature signature on-the-fly is validated experimentally with the use of the proposed system over different targets

Evaluation of the cell viability of human Wharton's jelly stem cells for use in cell therapy

Human umbilical cord Wharton's jelly stem cells (HWJSCs) are gaining attention as a possible clinical source of mesenchymal stem cells for cell therapy and tissue engineering due to their high accessibility, expansion potential, and plasticity. We employed a combination of highly sensitive techniques to determine the average cell viability levels and proliferation capabilities of 10 consecutive cell passages of cultured HWJSCs and then used RNA microarrays to identify genes associated with changes in cell viability levels. We found an initial decrease in cell viability from the first to the third cell passage followed by an increase until the sixth passage and a final decrease from the sixth to tenth cell passages. The highest cell viability levels corresponded to the fifth and sixth passages. The intracellular ionic contents of potassium, sodium, and chlorine suggest that the lower cell viability levels at passages 2, 3, and 8-10 may be associated with apoptotic cell death. In fact, gene expression analysis revealed that the average cell viability was significantly associated with genes with a function in apoptotic cell death, especially pro-apoptotic FASTKD2, BNIP3L genes and anti-apoptotic TNFAIP8 and BCL2L2 genes. This correlation with both pro-apoptotic and anti-apoptotic genes suggests that there may be a complex live-death equilibrium in cultured HWJSCs kept in culture for multiple cell passages. In this study, the highest cell viability levels corresponded to the fifth and sixth HWJSC passages, suggesting that these passages should be preferentially employed in cell therapy or tissue engineering protocols using this cell type

Analysis of the Parameters of Transfers in Rapid Transit Network Design

The rapid transit network design problem consists of the location of train alignments and stations in an urban traffic context. The originality of our study is to incorporate into the location model the decisions about the transportation mode and the route, to be chosen for urban trips. This paper proposes a new design model which includes transfers between train lines. The objective of the model is to maximize the number of expected users in the transit network taking limited budgets into consideration, in addition to location and allocation constraints. Furthermore, the transfer costs are considered in the generalized public costs when the users change lines. Waiting time to take the metro and walking time to transfer is included in the formulation of the costs. The analysis of transfer parameters is carried out using a test network. Some computational experience is included in the paper.Ministerio de Fomento 2003/1360Ministerio de Ciencia y Tecnología BFM2003-04062/MAT

IDENTIDAD CULTURAL TRANSMITIDA POR LA CIUDAD AUTÓNOMA DE MELILLA A SUS CIUDADANOS A TRAVÉS DE SU OFERTA CULTURAL

The present article exposes the results of an empirical study directed to knowing the opinion of the inhabitants of Melilla about the role that the Autonomous City of Melilla plays as the cultural local identity transmitter to its citizens, across the activities that are organized from the Council of Culture of the City. The instrument to gather information was elaborated ad hoc from the information found in an exploratory study on the activities that the above mentioned Council realized for the citizens in the last five years. The participants were from 16 to 85 year-old-citizens of Melilla. In total a sample of 143 citizens chosen as informers have been a part of our research.El presente artículo expone los resultados de un estudio empírico dirigido a conocer la opinión de los ciudadanos melillenses sobre el papel que desempeña la Ciudad Autónoma de Melilla como transmisora de la identidad cultural local a sus ciudadanos, a través de las actividades que se organizan desde la Consejería de Cultura de la Ciudad. El instrumento de recogida de datos se elaboró ad hoc a partir de los datos hallados en un estudio exploratorio sobre las actividades que dicha Consejería había realizado para los ciudadanos en los últimos cinco años. Los participantes han sido ciudadanos de Melilla de entre 16 y 85 años. En total han formado parte de nuestro estudio una muestra de 143 ciudadanos elegidos como informadores