Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Isabel A Nepomuceno-Chamorro"'
Autor:
Ramon Diaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V Nazarov, Isabel A Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8, p e1010357 (2022)
Externí odkaz:
https://doaj.org/article/edb604546f6a4c678e3dd97f4dd8c7ea
Autor:
Pelin Gundogdu, Inmaculada Alamo, Isabel A. Nepomuceno-Chamorro, Joaquin Dopazo, Carlos Loucera
Publikováno v:
Biology, Vol 12, Iss 4, p 579 (2023)
Single-cell RNA sequencing is increasing our understanding of the behavior of complex tissues or organs, by providing unprecedented details on the complex cell type landscape at the level of individual cells. Cell type definition and functional annot
Externí odkaz:
https://doaj.org/article/a12437f7fea94bb98ed71796197a7647
Publikováno v:
BioData Mining, Vol 11, Iss 1, Pp 1-19 (2018)
Abstract Background Biclustering algorithms search for groups of genes that share the same behavior under a subset of samples in gene expression data. Nowadays, the biological knowledge available in public repositories can be used to drive these algo
Externí odkaz:
https://doaj.org/article/8b2538a9e9614954b434b01e49cec582
Autor:
Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro, Ángel Arcos-Vargas
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6097 (2021)
The importance of electricity in people’s daily lives has made it an indispensable commodity in society. In electricity market, the price of electricity is the most important factor for each of those involved in it, therefore, the prediction of the
Externí odkaz:
https://doaj.org/article/8616575226e64673aef5ba786f0c4ae3
Publikováno v:
Information Sciences. 580:221-242
Generally, classification problems catalog instances according to their target variable without considering the relation among the different labels. However, there are real problems in which the different values of the class are related to each other
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The generation of synthetic data is becoming a fundamental task in the daily life of any organization due to the new protection data laws that are emerging. Because of the rise in the use of Artificial Intelligence, one of the most recent proposals t
Autor:
Alfonso E. Márquez-Chamorro, Isabel A. Nepomuceno-Chamorro, Manuel Resinas, Antonio Ruiz-Cortés
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783031074714
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::490565ebc80a6aea5ed6482f5340c865
https://doi.org/10.1007/978-3-031-07472-1_18
https://doi.org/10.1007/978-3-031-07472-1_18
ESR9 - Deliverable1.9 This report is based on the previous one presented in June 2020 [1] and contains the results of an extensive evaluation of the previously proposed methodology for the identification of cell types throughout various public datase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b549392ac3b9f091f2c67a193ddcc68
Autor:
Isabel A. Nepomuceno-Chamorro, Belén Vega-Márquez, Cristina Rubio-Escudero, Javier Solís-García
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
SOCO
Electricity is a product that has greatly changed the way we think about the world. In fact, it is one of the indicators that show the progress of a civilisation. With the deregulation of the electricity market in the 1990s, electricity price forecas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a18c9d6a77d5a1b6f52df04a02aed92
https://doi.org/10.1007/978-3-030-87869-6_64
https://doi.org/10.1007/978-3-030-87869-6_64
Autor:
Cristina Rubio-Escudero, Juan A. Nepomuceno, Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, José Luis Galván-Rojas
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Traditional computational techniques are recently being improved with the use of prior biological knowledge from open access repositories in the area of gene expression data analysis. In this work, we propose the use of prior knowledge as heuristic i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff0247ae838a5d1ff6bde3c00217b594