Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Julieta Sol Dussaut"'
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
El análisis de microarrays de expresión de genes es un tópico actual para el diagnóstico y clasificación del cáncer humano. Un microarray de datos de expresión de genes consiste en una matriz de miles de características de las cuales la mayor
Publikováno v:
Electronic Notes in Discrete Mathematics. 69:117-124
Feature selection applied to QSAR (Quantitative Structure-Activity Relationship) modeling is a challenging combinatorial optimization problem due to the high dimensionality of the chemical space associated with molecules and the complexity of the phy
Autor:
Julieta Sol Dussaut, Ignacio Ponzoni, Rocío L. Cecchini, Cristian Andrés Gallo, Jessica Andrea Carballido
Publikováno v:
Current Bioinformatics. 13:64-72
Background: We are living in an era that is in general characterized by a lot of data but little information. An enormous amount of biological data collected over several years is now presented as annotations and databases. In this context, all this
Autor:
Jessica Andrea Carballido, Ignacio Ponzoni, Julieta Sol Dussaut, Rocío L. Cecchini, Cristian Andrés Gallo
Publikováno v:
Biosystems. 150:1-12
Detection of crosstalks among pathways is a challenging task, which requires the identification of different types of interactions associated with cellular processes. A common strategy used in bioinformatics consists in extrapolating pathway associat
Publikováno v:
CEC
Microarray analysis has gradually becoming an important tool for diagnosis and classification of human cancers. Microarray data consists of thousands of features most of which have been irrelevant for classifying microarray gene expression patterns.
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783319561530
IWBBIO (2)
IWBBIO (2)
Gene expression biclustering analysis is a commonly used technique to see the interaction between genes under certain experiments or conditions. More specifically in the study of diseases, these methods are used to compare control and affected data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbca902e4682a446d163e49c6b2e4750
https://doi.org/10.1007/978-3-319-56154-7_24
https://doi.org/10.1007/978-3-319-56154-7_24
Autor:
Fiorella Cravero, Ignacio Ponzoni, María Jimena Martínez, Jessica Andrea Carballido, Cristian Andrés Gallo, Julieta Sol Dussaut
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Gene regulatory networks (GRNs) are crucial in every process of life since they govern the majority of the molecular processes. Therefore, the task of assembling these networks is highly important. In particular, the so called model-free ap-proaches