Search

Your search keyword '"Ernesto Estevez-Rams"' showing total 5 results
Start Over Author "Ernesto Estevez-Rams" Language english
5 results on '"Ernesto Estevez-Rams"'

1. Cancer Segmentation by Entropic Analysis of Ordered Gene Expression Profiles

Author

Ania Mesa-Rodríguez, Augusto Gonzalez, Ernesto Estevez-Rams, and Pedro A. Valdes-Sosa

Subjects
tumor discrimination, gene expression, Shannon entropy, information distance, Science, Astrophysics, QB460-466, Physics, QC1-999
Abstract

The availability of massive gene expression data has been challenging in terms of how to cure, process, and extract useful information. Here, we describe the use of entropic measures as discriminating criteria in cancer using the whole data set of gene expression levels. These methods were applied in classifying samples between tumor and normal type for 13 types of tumors with a high success ratio. Using gene expression, ordered by pathways, results in complexity–entropy diagrams. The map allows the clustering of the tumor and normal types samples, with a high success rate for nine of the thirteen, studied cancer types. Further analysis using information distance also shows good discriminating behavior, but, more importantly, allows for discriminating between cancer types. Together, our results allow the classification of tissues without the need to identify relevant genes or impose a particular cancer model. The used procedure can be extended to classification problems beyond the reported results.

Published
2022
Full Text
View/download PDF

2. Complexity-entropy analysis at different levels of organisation in written language.

Author

Ernesto Estevez-Rams, Ania Mesa-Rodriguez, and Daniel Estevez-Moya

Subjects
Medicine, Science
Abstract

Written language is complex. A written text can be considered an attempt to convey a meaningful message which ends up being constrained by language rules, context dependence and highly redundant in its use of resources. Despite all these constraints, unpredictability is an essential element of natural language. Here we present the use of entropic measures to assert the balance between predictability and surprise in written text. In short, it is possible to measure innovation and context preservation in a document. It is shown that this can also be done at the different levels of organization of a text. The type of analysis presented is reasonably general, and can also be used to analyze the same balance in other complex messages such as DNA, where a hierarchy of organizational levels are known to exist.

Published
2019
Full Text
View/download PDF

3. Complexity-entropy analysis at different levels of organisation in written language

Author

Ania Mesa-Rodriguez, D. Estevez-Moya, and Ernesto Estevez-Rams

Subjects
FOS: Computer and information sciences, Vocabulary, Systems Analysis, Computer science, media_common.quotation_subject, Science, Entropy, Writing, computer.software_genre, 01 natural sciences, 010305 fluids & plasmas, 0103 physical sciences, Entropy (information theory), Humans, 010306 general physics, media_common, Language, Multidisciplinary, Computer Science - Computation and Language, Grammar, business.industry, Models, Theoretical, Surprise, Medicine, Written language, Artificial intelligence, business, computer, Computation and Language (cs.CL), Natural language, Natural language processing, Research Article
Abstract

Written language is complex. A written text can be considered an attempt to convey a meaningful message which ends up being constrained by language rules, context dependence and highly redundant in its use of resources. Despite all these constraints, unpredictability is an essential element of natural language. Here we present the use of entropic measures to assert the balance between predictability and surprise in written text. In short, it is possible to measure innovation and context preservation in a document. It is shown that this can also be done at the different levels of organization of a text. The type of analysis presented is reasonably general, and can also be used to analyze the same balance in other complex messages such as DNA, where a hierarchy of organizational levels are known to exist.

Published
2019

4. Extrinsic faulting in 3 C close-packed crystal structures: computational mechanics analysis

Author

Massimo Nespolo, Raimundo Lora-Serrano, Ernesto Estevez-Rams, A. Pentón-Madrigal, Instituto de Ciencia y Tecnología de Materiales, Universidad de La Habana [Cuba], Universidade Federal de Uberlândia - UFU (BRAZIL), Cristallographie, Résonance Magnétique et Modélisations ( CRM2 ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Lorraine ( UL ), Cristallographie, Résonance Magnétique et Modélisations (CRM2), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), and Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Pairwise correlation, Diffraction, Crystal structure, Fault (geology), 010403 inorganic & nuclear chemistry, 01 natural sciences, Biochemistry, Inorganic Chemistry, [ CHIM.CRIS ] Chemical Sciences/Cristallography, Structural Biology, 0103 physical sciences, Computational mechanics, [CHIM.CRIS]Chemical Sciences/Cristallography, General Materials Science, Statistical physics, Physical and Theoretical Chemistry, 010306 general physics, Physics, geography, geography.geographical_feature_category, Analytical expressions, Condensed Matter Physics, Random walk, Expression (mathematics), 0104 chemical sciences, human activities
Abstract

International audience; Extrinsic faulting has been discussed previously within the so-called difference method and random walk calculation. In this contribution it is revisited under the framework of computational mechanics, which allows expressions to be derived for the statistical complexity, entropy density and excess entropy as a function of faulting probability. The approach allows one to compare the disordering process of an extrinsic fault with other faulting types. The "-machine description of the faulting mechanics is presented. Several useful analytical expressions such as probability of consecutive symbols in the Hä gg coding are presented, as well as hexagonality. The analytical expression for the pairwise correlation function of the layers is derived and compared with results previously reported. The effect of faulting on the interference function is discussed in relation to the diffraction pattern.

Published
2017
Full Text
View/download PDF

5. Visualizing long vectors of measurements by use of the Hilbert curve

Author

C. Pérez-Demydenko, Ernesto Estevez-Rams, Raimundo Lora-Serrano, and B. Aragón Fernández

Subjects
Sequence, Hilbert R-tree, Mathematical analysis, FOS: Physical sciences, General Physics and Astronomy, Hilbert curve, Rigged Hilbert space, Computational Physics (physics.comp-ph), Hilbert spectral analysis, Plot (graphics), symbols.namesake, Fourier transform, Hardware and Architecture, Physics - Data Analysis, Statistics and Probability, symbols, Logistic map, Algorithm, Physics - Computational Physics, Data Analysis, Statistics and Probability (physics.data-an), Mathematics
Abstract

The use of Hilbert curves to visualize massive vector of data is revisited following previous authors. The Hilbert curve mapping preserves locality and makes meaningful representation of the data. We call such visualization as Hilbert plots. The combination of a Hilbert plot with its Fourier transform allows to identify patterns in the underlying data sequence. The use of different granularity representation also allows to identify periodic intervals within the data. Data from different sources are presented: periodic, aperiodic, logistic map and 1/2-Ising model. A real data example from the study of heartbeat data is also discussed., Accepted at Computer Physics Communications

Published
2015

Catalog

Books, media, physical & digital resources
See catalog results