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Leorey N. Saligan
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2020 – today
- 2020
- [j3]Ana Cernea, Juan Luis Fernández Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Óscar Álvarez-Machancoses, Zulima Fernández-Muñiz
, Leorey N. Saligan
Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer. BMC Bioinform. 21-S(2): 89 (2020)
2010 – 2019
- 2019
- [j2]Enrique J. deAndrés-Galiana
Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches. Comput. Biol. Medicine 115 (2019) - 2018
- [c4]Wei Du, Kristin Dickinson, Calvin A. Johnson, Leorey N. Saligan
Identifying Genes to Predict Cancer Radiotherapy-Related Fatigue with Machine-Learning Methods. BCB 2018: 527 - [c3]Ana Cernea, Juan Luis Fernández Martínez
Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher's Ratio Sampler. IWBBIO (2) 2018: 15-23 - [c2]Juan Luis Fernández Martínez
Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler. IWBBIO (2) 2018: 24-32 - [c1]Ana Cernea
Comparison of Different Sampling Algorithms for Phenotype Prediction. IWBBIO (2) 2018: 33-45 - 2016
- [j1]Enrique J. deAndrés-Galiana
Impact of Microarray Preprocessing Techniques in Unraveling Biological Pathways. J. Comput. Biol. 23(12): 957-968 (2016)
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