Financing detail


Title: STIC-AMSUD, Computational models for predicting SNPs-phenotype associations.

Description: This project aims to design a knowledge-based prediction model for associating Single Nucleotide Polymorphisms (SNPs) with phenotypic traits towards a better understanding of disease related SNPs architecture. To this purpose, expert knowledge about interactions between SNPs and target phenotypic traits will be modeled and used to enrich machine learning-based prediction models allowing the identification of potentially informative sets of SNPs.

Project code: 17STIC-03.

Financing amount: 30100

Coinage: Euros

Financing type: Proyectos de I+D.

Disciplinary field: 1 - CIENCIAS NATURALES Y EXACTAS / 1.2 - Ciencias de la Computación e Información / 1.2.2 - Ciencias de la Información y Bioinformática (desarrollo de hardware va en 2.2 "Ingeniería Eléctrica, Electrónica y de Información" y los aspectos sociales van en 5.8 "Comunicación y Medios").

Scope: Varios campos.

Specialty: Aprendizaje Computacional.

Principal's name: PILAR ESTELA.