Ester Vilapriño Terre
Degree: PhD
ester.vilaprinyo(ELIMINAR)@udl.cat
ResearcherID: http://www.researcherid.com/rid/A-6702-2010
Publications
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Vilaprinyo, Ester; Rue, Montserrat; Marcos-Gragera, Rafael; Martinez-Alonso, Montserrat
Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data.
Bmc Cancer 9 98-98. .
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Alves, Rui; Vilaprinyo, Ester; Sorribas, Albert; Herrero, Enrique
Evolution based on domain combinations: the case of glutaredoxins.
BMC EVOLUTIONARY BIOLOGY 9 66-66. .
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Rue, Montserrat; Carles, Misericordia; Vilaprinyo, Ester; Martinez-Alonso, Montserrat; Espinas, Josep-Alfons; Pla, Roger; Brugulat, Pilar
Dissemination of periodic mammography and patterns of use, by birth cohort, in Catalonia (Spain).
Bmc Cancer 8 336-336. .
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Vilaprinyo, Ester; Gispert, Rosa; Martinez-Alonso, Montserrat; Carles, Misericordia; Pla, Roger; Espinas, Josep-Alfons; Rue, Montserrat
Competing risks to breast cancer mortality in Catalonia.
Bmc Cancer 8 331-331. .
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Alves, Rui; Vilaprinyo, Ester; Sorribas, Albert
Integrating bioinformatics and computational biology: Perspectives and possibilities for in silico network reconstruction in molecular systems biology
CURR BIOINFORM 3 98-129. .
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Alves R; Vilaprinyo E; Hernádez-Bermejo B; Sorribas A
Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways.
Biotechnology & Genetic Engineering Reviews 25 1-40. .
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Sorribas, Albert; Hernandez-Bermejo, Benito; Vilaprinyo, Ester; Alves, Rui
Cooperativity and saturation in biochemical networks: a saturable formalism using Taylor series approximations.
BIOTECHNOL BIOENG 97 1259-1277. .
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Vilaprinyo, Ester; Alves, Rui; Sorribas, Albert
Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shock.
Bmc Bioinformatics 7 184-184. .
Projects
- Development of a simulation environment as a tool to support the design of studies and clinical trials.
- Optimización de los programas de cribado poblacional mediante modelos matemáticos: aplicación al cribado del cáncer de mama en España