Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Marcelo S. Reis"'
Autor:
Eduardo Cararo-Lopes, Matheus H. Dias, Marcelo S. da Silva, Julianna D. Zeidler, Alexandre T. Vessoni, Marcelo S. Reis, Enrique Boccardo, Hugo A. Armelin
Publikováno v:
Cell Death and Disease, Vol 12, Iss 2, Pp 1-16 (2021)
Abstract Malignant transformation involves an orchestrated rearrangement of cell cycle regulation mechanisms that must balance autonomic mitogenic impulses and deleterious oncogenic stress. Human papillomavirus (HPV) infection is highly prevalent in
Externí odkaz:
https://doaj.org/article/8b5f52579e3f46898730b41cc411901e
Autor:
Matheus H. Dias, Cecília S. Fonseca, Julianna D. Zeidler, Layra L. Albuquerque, Marcelo S. daSilva, Eduardo Cararo‐Lopes, Marcelo S. Reis, Vincent Noël, Edmilson O. dosSantos, Ian A. Prior, Hugo A. Armelin
Publikováno v:
Molecular Oncology, Vol 13, Iss 2, Pp 290-306 (2019)
In malignant transformation, cellular stress‐response pathways are dynamically mobilized to counterbalance oncogenic activity, keeping cancer cells viable. Therapeutic disruption of this vulnerable homeostasis might change the outcome of many human
Externí odkaz:
https://doaj.org/article/a0f2218e8b7245598d3649ce9e9b7bc0
Publikováno v:
SoftwareX, Vol 6, Iss , Pp 193-197 (2017)
In this paper, we introduce featsel, a framework for benchmarking of feature selection algorithms and cost functions. This framework allows the user to deal with the search space as a Boolean lattice and has its core coded in C++ for computational ef
Externí odkaz:
https://doaj.org/article/cd31c1c822974e75bdd84d93e0668eec
Autor:
Eduardo Cararo-Lopes, Matheus H. Dias, Marcelo S. da Silva, Julianna D. Zeidler, Alexandre T. Vessoni, Marcelo S. Reis, Enrique Boccardo, Hugo A. Armelin
Publikováno v:
Cell Death and Disease, Vol 12, Iss 4, Pp 1-1 (2021)
A Correction to this paper has been published: https://doi.org/10.1038/s41419-021-03564-4
Externí odkaz:
https://doaj.org/article/ec192d0da80846c8b5640aabfe8ddce9
A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data
Publikováno v:
Cancer Informatics, Vol 2015, Iss Suppl. 5, Pp 139-149 (2016)
Externí odkaz:
https://doaj.org/article/fd12c76b6da440cc911a9080bbef5e8d
Autor:
Gustavo Estrela, Marco Dimas Gubitoso, Carlos Eduardo Ferreira, Junior Barrera, Marcelo S. Reis
Publikováno v:
Entropy, Vol 22, Iss 4, p 492 (2020)
In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature su
Externí odkaz:
https://doaj.org/article/746a2029b1f64e46aa1f296b9d74ee36
Autor:
Mariângela Cristofani-Yaly, Irving J. Berger, Maria Luisa P.N. Targon, Marco A. Takita, Sílvia de O. Dorta, Juliana Freitas-Astúa, Alessandra A. de Souza, Raquel L. Boscariol-Camargo, Marcelo S. Reis, Marcos A. Machado
Publikováno v:
Genetics and Molecular Biology, Vol 30, Iss 3, Pp 972-979 (2007)
Citrus is the most important fruit crop in Brazil and Citrus tristeza virus (CTV) is considered one of the most important pathogens of citrus. Most citrus species and varieties are susceptible to CTV infection. However, Poncirus trifoliata, a close r
Externí odkaz:
https://doaj.org/article/12c6ae3d07144256a96aede9f0861c2c
Autor:
Alessandra A. de Souza, Marco A. Takita, Helvécio D. Coletta-Filho, Maria Luisa P.N. Targon, Eduardo F. Carlos, Eliane C. Locali-Fabris, Alexandre M. Amaral, Juliana Freitas-Astúa, Ana Carla O. Silva-Pinhati, Raquel L. Boscariol-Camargo, Irving J. Berger, Carolina M. Rodrigues, Marcelo S. Reis, Marcos A. Machado
Publikováno v:
Genetics and Molecular Biology, Vol 30, Iss 3, Pp 957-964 (2007)
In order to understand the genetic responses resulting from physiological changes that occur in plants displaying citrus variegated chlorosis (CVC) symptoms, we adopted a strategy of comparing two EST libraries from sweet orange [Citrus sinensis (L.)
Externí odkaz:
https://doaj.org/article/10071b2a005c48438e79ae8c9aa9deb3
Autor:
Raquel L. Boscariol-Camargo, Irving J. Berger, Alessandra A. Souza, Alexandre M. do Amaral, Eduardo F. Carlos, Juliana Freitas-Astúa, Marco A. Takita, Maria Luisa P.N. Targon, Camilo L. Medina, Marcelo S. Reis, Marcos A. Machado
Publikováno v:
Genetics and Molecular Biology, Vol 30, Iss 3, Pp 906-916 (2007)
CitEST project resulted in the construction of cDNA libraries from different Citrus sp. tissues under various physiological conditions. Among them, plantlets of Rangpur lime were exposed to hydroponic conditions with and without water stress using PE
Externí odkaz:
https://doaj.org/article/35e9b1fcf63f4880b6dac3654f96eaf2
Publikováno v:
Genetics and Molecular Biology, Vol 30, Iss 3, Pp 1024-1029 (2007)
In this work we describe all the computational environments, pipelines, and web services developed for the CitEST transcriptome project, on which all the annotation researchers relied. We also present a complete list of CitEST libraries and, for each
Externí odkaz:
https://doaj.org/article/b3265a417cd741ed969af2bae33e5a17