Beatriz García Jiménez
Beatriz García Jiménez
Postdoc in Center for Plant Biotechnology and Genomics (CBGP), Universidad Politécnica de Madrid
Verified email at upm.es
Title
Cited by
Cited by
Year
MEMOTE for standardized genome-scale metabolic model testing
C Lieven, ME Beber, BG Olivier, FT Bergmann, M Ataman, P Babaei, ...
Nature biotechnology 38 (3), 272-276, 2020
602020
Memote: A community driven effort towards a standardized genome-scale metabolic model test suite
C Lieven, ME Beber, BG Olivier, FT Bergmann, P Babaei, JA Bartell, ...
BioRxiv, 350991, 2018
422018
EcID. A database for the inference of functional interactions in E. coli
EA Leon, I Ezkurdia, B García, A Valencia, D Juan
Nucleic acids research 37 (suppl 1), D629-D635, 2009
362009
Inference of functional relations in predicted protein networks with a machine learning approach
B García-Jiménez, D Juan, I Ezkurdia, E Andrés-León, A Valencia
PloS one 5 (4), e9969, 2010
142010
FLYCOP: metabolic modeling-based analysis and engineering microbial communities
B García-Jiménez, JL García, J Nogales
Bioinformatics 34 (17), i954–i963, 2018
132018
MDPbiome: microbiome engineering through prescriptive perturbations
B García-Jiménez, T de la Rosa, MD Wilkinson
Bioinformatics 34 (17), i838-i847, 2018
102018
Robust and automatic definition of microbiome states
B García-Jiménez, MD Wilkinson
PeerJ 7, e6657, 2019
52019
Automatic annotation of bioinformatics workflows with biomedical ontologies
B García-Jiménez, MD Wilkinson
6th International Symposium on Leveraging Applications, ISoLA 2014, 2014
52014
Protein-protein functional association prediction using genetic programming
B García-Jiménez, R Aler, A Ledezma, A Sanchis
Proceedings of the 10th annual conference on Genetic and Evolutionary …, 2008
5*2008
Predicting Protein Relationships to Human Pathways through a Relational Learning Approach based on Simple Sequence Features
B Garcia-Jimenez, T Pons, A Sanchis, A Valencia
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014
42014
Genetic programming for predicting protein networks
B García-Jiménez, R Aler, A Ledezma, A Sanchis
Proceedings of the 11th Ibero-American Conference on Artificial Intelligence …, 2008
4*2008
Dynamic simulations of microbial communities under perturbations: opportunities for microbiome engineering
B García-Jiménez, J Carrasco, J Medina, MD Wilkinson
ResearchSquare, 2020
12020
Automatic definition of robust microbiome sub-states in longitudinal data
B García-Jiménez, MD Wilkinson
PeerJ Preprints 6, e26657v1, 2018
12018
S. cerevisiae complex function prediction with modular multi-relational framework
B García Jiménez, A Ledezma, A Sanchis
Trends in Applied Intelligent Systems: Proceedings of the 23rd International …, 2010
1*2010
Studying the capacity of grammatical encoding to generate FNN architectures
G Gutiérrez, B García, JM Molina, A Sanchis
International Work-Conference on Artificial Neural Networks, 478-485, 2003
12003
Metabolic modelling approaches for describing and engineering microbial communities
B García-Jiménez, J Torres-Bacete, J Nogales
Computational and Structural Biotechnology Journal 19, 226, 2020
2020
Predicting microbiomes through a deep latent space
B García-Jiménez, J Muñoz, S Cabello, J Medina, MD Wilkinson
Bioinformatics, doi.org/10.1093/bioinformatics/btaa971, 2020
2020
Data-driven classification of the certainty of scholarly assertions
M Prieto, H Deus, A De Waard, E Schultes, B García-Jiménez, ...
PeerJ 8, e8871, 2020
2020
Predicting microbiomes through a deep latent space
B García-Jiménez, J Muñoz, S Cabello, J Medina, MD Wilkinson
bioRxiv, 2020
2020
Temporal microbiome road-maps guided by perturbations
B García-Jiménez, M Wilkinson
bioRxiv, 049510, 2016
2016
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Articles 1–20