Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Marco Dimas Gubitoso"'
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:
Antonio C. Roque, Matheus D'alencar, Yanina L. Uscapi, Maria Elisa Pimentel Piemonte, Marco Dimas Gubitoso, André Frazão Helene, Rafael Bassi Stern
Publikováno v:
Frontiers in Aging Neuroscience
Frontiers in Aging Neuroscience, Vol 12 (2020)
Frontiers in Aging Neuroscience, Vol 12 (2020)
Background: People with Parkinson's disease (PD) display poorer gait performance when walking under complex conditions than under simple conditions. Screening tests that evaluate gait performance changes under complex walking conditions may be valuab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cfd84e65ce49871db8e16d6365ca821
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
A Direct Boundary Element implementation was accelerated by using General Purpose Graphics Processing Units (GPGPUs) to improve the performance in analysis of soil vibration isolation with trenches. The Boundary Element formulation is based on the 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d90597f898a2a637aadf1fa81263267
Autor:
Diogo Mattioli, Marco Dimas Gubitoso
Publikováno v:
Proceedings of the 2018 10th International Conference on Bioinformatics and Biomedical Technology.
Cancer is driven by changes in the patterns of gene expressions due to the accumulation of mutations or epigenetic changes. One of the approaches used for detecting new oncogenes is the extraction of subgraphs with four vertices from a protein-protei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca3b46233aac9174da4188efa69bece
https://doi.org/10.1145/3232059.3232068
https://doi.org/10.1145/3232059.3232068
A Robust Structural PGN Model for Control of Cell-Cycle Progression Stabilized by Negative Feedbacks
Autor:
Nestor Walter Trepode, Marco Dimas Gubitoso, Junior Barrera, Michael L. Bittner, Hugo A. Armelin, Ronaldo Fumio Hashimoto
Publikováno v:
EURASIP Journal on Bioinformatics and Systems Biology
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
The cell division cycle comprises a sequence of phenomena controlled by a stable and robust genetic network. We applied a probabilistic genetic network (PGN) to construct a hypothetical model with a dynamical behavior displaying the degree of robustn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10bd7a316822e59e501d63525e81b06c
https://doi.org/10.1155/2007/73109
https://doi.org/10.1155/2007/73109
A New Approach for Identification of Cancer-related Pathways using Protein Networks and Genomic Data
Autor:
Marco Dimas Gubitoso, Junior Barrera, André F. Fonseca, Marcelo S. Reis, Sandro José de Souza
Publikováno v:
Cancer Informatics, Vol 14s5 (2015)
Cancer Informatics, Vol 2015, Iss Suppl. 5, Pp 139-149 (2016)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Cancer Informatics
Cancer Informatics, Vol 2015, Iss Suppl. 5, Pp 139-149 (2016)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
Cancer Informatics
Cancer cells have anomalous development and proliferation due to disturbances in their control systems. The study of the behavior of cellular control system requires high-throughput dynamical data. Unfortunately, this type of data is not largely avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb4a5e45342a327025eba1e7d337aa32
https://doaj.org/article/5bdf39bb9500405186c324f13348b243
https://doaj.org/article/5bdf39bb9500405186c324f13348b243
Publikováno v:
Methodology And Computing In Applied Probability. 3:255-270
We present an algorithm to reconstruct gray scale images corrupted by noise. We use a Bayesian approach. The unknown original image is assumed to be a realization of a Markov random field on a finite two dimensional region Λ ⊂ Z2. This image is de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4d1f96db368331afc6f3df95f22038e
https://doi.org/10.1023/a:1013762722096
https://doi.org/10.1023/a:1013762722096
Publikováno v:
CIBCB
Juxtacrine signaling is intercellular communication, in which the receptor of the signal (typically a protein) as well as the ligand (also typically a protein, responsible for the activation of the receptor) are anchored in the plasma membranes, so t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b62fbf1b282d9147f2f80e95393ea0e8
https://doi.org/10.1109/cibcb.2007.4221245
https://doi.org/10.1109/cibcb.2007.4221245
Publikováno v:
Computers in biology and medicine. 34(5)
This paper describes a data mining environment for knowledge discovery in bioinformatics applications. The system has a generic kernel that implements the mining functions to be applied to input primary databases, with a warehouse architecture, of bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bffc89b6d730c00977338c5ce12328bb
https://pubmed.ncbi.nlm.nih.gov/15145713
https://pubmed.ncbi.nlm.nih.gov/15145713
Autor:
Nina S. T. Hirata, Hugo A. Armelin, Edward R. Dougherty, Eduardo J. Neves, Marco Dimas Gubitoso, Junior Barrera, João Eduardo Ferreira
Publikováno v:
SPIE Proceedings.
This paper presents a simulator for gene expression networks, based on the model of chain dynamical systems (CDS). It gives the definition of CDS, describes the simulator architecture, the language adopted for describing CDS, and the available output
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70f926a97bdddab77859e5aed65c97b
https://doi.org/10.1117/12.427995
https://doi.org/10.1117/12.427995