Luis Vitores
Valcárcel García
Investigador
Publicaciones en las que colabora con Luis Vitores Valcárcel García (14)
2024
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An automated network-based tool to search for metabolic vulnerabilities in cancer
Nature Communications , Vol. 15, Núm. 1
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BN-BacArena: Bayesian network extension of BacArena for the dynamic simulation of microbial communities
Bioinformatics, Vol. 40, Núm. 5
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Extending PROXIMAL to predict degradation pathways of phenolic compounds in the human gut microbiota
npj Systems Biology and Applications, Vol. 10, Núm. 1
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Review and meta-analysis of the genetic Minimal Cut Set approach for gene essentiality prediction in cancer metabolism
Briefings in Bioinformatics, Vol. 25, Núm. 3
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gMCSpy: efficient and accurate computation of genetic minimal cut sets in Python
Bioinformatics, Vol. 40, Núm. 6
2023
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Synthetic lethality in large-scale integrated metabolic and regulatory network models of human cells
NPJ systems biology and applications, Vol. 9, Núm. 1, pp. 32
2022
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A network-based approach to integrate nutrient microenvironment in the prediction of synthetic lethality in cancer metabolism
PLoS Computational Biology, Vol. 18, Núm. 3
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BOSO: A novel feature selection algorithm for linear regression with high-dimensional data
PLoS Computational Biology, Vol. 18, Núm. 5
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Landscape and clinical significance of long noncoding RNAs involved in multiple myeloma expressed fusion transcripts
American Journal of Hematology
2021
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Characterization of complete lncRNAs transcriptome reveals the functional and clinical impact of lncRNAs in multiple myeloma
Leukemia, Vol. 35, Núm. 5, pp. 1438-1450
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Gene expression derived from alternative promoters improves prognostic stratification in multiple myeloma
Leukemia, Vol. 35, Núm. 10, pp. 3012-3016
2019
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Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Nature Protocols, Vol. 14, Núm. 3, pp. 639-702
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GMCS: Fast computation of genetic minimal cut sets in large networks
Bioinformatics, Vol. 35, Núm. 3, pp. 535-537
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RMTA: Robust metabolic transformation analysis
Bioinformatics, Vol. 35, Núm. 21, pp. 4350-4355