Výsledky vyhledávání - "Fatima De Cassia E. Oliveira"

Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins

Autor: Michely C. Diniz, Michel T. Kamimura, Diana Oliveira, Karen T. Girão, Maria Cristina da Silva, Samara C. Silva, Laura D.G. Carneiro, Fatima De Cassia E. Oliveira, Italo M. C. Maia, Ana Carolina Landim Pacheco, Kaio M. Farias, Carla R. F. Gadelha

Publikováno v: Pattern Recognition in Bioinformatics ISBN: 9783540884347
PRIB

The multi-relational data mining (MRDM) approach looks for patterns that involve multiple tables from a relational database made of complex/structured objects whose normalized representation does require multiple tables. We have applied MRDM methods

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1deef032ceca084cbae0081a021058d4
https://doi.org/10.1007/978-3-540-88436-1_31

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Hidden Markov models and the Viterbi algorithm applied to integrated bioinformatics analyses of putative flagellar actin-interacting proteins in Leishmania spp

Autor: Diana Oliveira, Raimundo Araujo Filho, Samara C. Silva, Fatima De Cassia E. Oliveira, Marcília P. Costa, Michely C. Diniz, Michel T. Kamimura, Fabiana F. Araújo, Ana Carolina Landim Pacheco

Publikováno v: International Journal of Computer Aided Engineering and Technology. 1:420

For performing vital cellular processes, such as motility, eukaryotic cells rely on the actin cytoskeleton, whose structure and dynamics are tightly controlled by a large number of actin-interacting proteins (AIPs). Actin can determine cell stiffness

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc41d4197ff6354982359478b1e32e94
https://doi.org/10.1504/ijcaet.2009.028550

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