Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Ignacio Ponzoni"'
Autor:
Ignacio Ponzoni, Víctor Sebastián-Pérez, Carlos Requena-Triguero, Carlos Roca, María J. Martínez, Fiorella Cravero, Mónica F. Díaz, Juan A. Páez, Ramón Gómez Arrayás, Javier Adrio, Nuria E. Campillo
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-19 (2017)
Abstract Quantitative structure–activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a specific target pr
Externí odkaz:
https://doaj.org/article/d95973b8023d4de68ded65e398e04d19
Publikováno v:
Evolutionary Bioinformatics, Vol 2016, Iss 12, Pp 247-251 (2016)
Externí odkaz:
https://doaj.org/article/5a769ad36663496ea833a8c1a0a39f01
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design
Publikováno v:
Journal of Integrative Bioinformatics, Vol 13, Iss 2, Pp 15-29 (2016)
Several feature extraction approaches for QSPR modelling in Cheminformatics are discussed in this paper. In particular, this work is focused on the use of these strategies for predicting mechanical properties, which are relevant for the design of pol
Externí odkaz:
https://doaj.org/article/e726f02c74a14e7fa1452f83242515d2
Autor:
Mónica F. Díaz, Gustavo E. Vazquez, Ignacio Ponzoni, Damián Palomba, María J. Martínez, Axel J. Soto
Publikováno v:
Molecules, Vol 17, Iss 12, Pp 14937-14953 (2012)
Volatile organic compounds (VOCs) are contained in a variety of chemicals that can be found in household products and may have undesirable effects on health. Thereby, it is important to model blood-to-liver partition coefficients (log Pliver) for VOC
Externí odkaz:
https://doaj.org/article/124c9705e71a4158b04a291dd2018ed2
Publikováno v:
Journal of Computer Science and Technology, Vol 4, Iss 01, Pp 32-37 (2004)
Facing the different approaches to process activation and global termination detection on distributed systems, this paper performs a practical comparison between the mainly opposed centralized and distributed models. Firstly, they were implemented to
Externí odkaz:
https://doaj.org/article/b2f957b525a04c849d10d71213c159be
Publikováno v:
Genes; Volume 14; Issue 6; Pages: 1250
The likelihood of being diagnosed with thyroid cancer has increased in recent years; it is the fastest-expanding cancer in the United States and it has tripled in the last three decades. In particular, Papillary Thyroid Carcinoma (PTC) is the most co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::108b0923ce9c7fa0ca4d3683cc89ffb7
Publikováno v:
Food and Bioprocess Technology. 16:24-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6732ea462bf20931421482665c426c3
https://doi.org/10.1007/s11947-022-02836-x
https://doi.org/10.1007/s11947-022-02836-x
Publikováno v:
Logic Journal of the IGPL. 31:271-286
Matrices that cannot be handled using conventional clustering, regression or classification methods are often found in every big data research area. In particular, datasets with thousands or millions of rows and less than a hundred columns regularly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd38cfc2139fae63ff178c6b4ee273e
https://doi.org/10.1093/jigpal/jzac018
https://doi.org/10.1093/jigpal/jzac018
Autor:
María Jimena Martínez, María Virginia Sabando, Axel J. Soto, Carlos Roca, Carlos Requena-Triguero, Nuria E. Campillo, Juan A. Páez, Ignacio Ponzoni
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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29 p.2 fig.-3 tab.-1 graph.abst.+Sup. Inf. 4 p._4 tab.
The Ames mutagenicity test constitutes the most frequently used assay to estimate the mutagenic potential of drug candidates. While this test employs experimental results using various strai
The Ames mutagenicity test constitutes the most frequently used assay to estimate the mutagenic potential of drug candidates. While this test employs experimental results using various strai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3a61606ab53ebf02af3dd6eabf2ac7f
https://pubmed.ncbi.nlm.nih.gov/36066065
https://pubmed.ncbi.nlm.nih.gov/36066065
Publikováno v:
Polimery. 66:293-297
The Polymer Maker SMILES-based (PolyMaS) software was used to generate linear macromolecules from the repeating structural units (SRU) of polymers without limiting their length and molar mass. The SRU input is stored in the SMILES code available on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b90fb36800022cacadfb272ea83d534
https://doi.org/10.14314/polimery.2021.5.2
https://doi.org/10.14314/polimery.2021.5.2