Fernández-Martínez JL - Search Results

1

Deciphering Crosstalk Circuits in Non-small Cell Lung Cancers with an Increasing Interval Length of Low Dose CT Screening.

Rosell R, Karachaliou N, Chaib I, Pilotto S, Bria E, Fernández-Martínez JL, Ramirez JL. Rosell R, et al. EBioMedicine. 2015 Jul 21;2(8):782-3. doi: 10.1016/j.ebiom.2015.07.026. eCollection 2015 Aug. EBioMedicine. 2015. PMID: 26425674 Free PMC article. Review. No abstract available.

2

On the prediction of Hodgkin lymphoma treatment response.

deAndrés-Galiana EJ, Fernández-Martínez JL, Luaces O, Del Coz JJ, Fernández R, Solano J, Nogués EA, Zanabilli Y, Alonso JM, Payer AR, Vicente JM, Medina J, Taboada F, Vargas M, Alarcón C, Morán M, González-Ordóñez A, Palicio MA, Ortiz S, Chamorro C, Gonzalez S, González-Rodríguez AP. deAndrés-Galiana EJ, et al. Clin Transl Oncol. 2015 Aug;17(8):612-9. doi: 10.1007/s12094-015-1285-z. Epub 2015 Apr 21. Clin Transl Oncol. 2015. PMID: 25895906

3

Prevalence and prognostic impact of subclinical pulmonary congestion at discharge in patients with acute heart failure.

Rivas-Lasarte M, Maestro A, Fernández-Martínez J, López-López L, Solé-González E, Vives-Borrás M, Montero S, Mesado N, Pirla MJ, Mirabet S, Fluvià P, Brossa V, Sionis A, Roig E, Cinca J, Álvarez-García J. Rivas-Lasarte M, et al. ESC Heart Fail. 2020 Oct;7(5):2621-2628. doi: 10.1002/ehf2.12842. Epub 2020 Jul 7. ESC Heart Fail. 2020. PMID: 32633473 Free PMC article.

4

Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems.

deAndrés-Galiana EJ, Fernández-Martínez JL, Luaces O, Del Coz JJ, Huergo-Zapico L, Acebes-Huerta A, González S, González-Rodríguez AP. deAndrés-Galiana EJ, et al. J Biomed Inform. 2016 Apr;60:342-51. doi: 10.1016/j.jbi.2016.02.017. Epub 2016 Mar 5. J Biomed Inform. 2016. PMID: 26956213 Free article.

5

Sensitivity analysis of gene ranking methods in phenotype prediction.

deAndrés-Galiana EJ, Fernández-Martínez JL, Sonis ST. deAndrés-Galiana EJ, et al. J Biomed Inform. 2016 Dec;64:255-264. doi: 10.1016/j.jbi.2016.10.012. Epub 2016 Oct 26. J Biomed Inform. 2016. PMID: 27793724 Free article.

6

Design of Biomedical Robots for Phenotype Prediction Problems.

deAndrés-Galiana EJ, Fernández-Martínez JL, Sonis ST. deAndrés-Galiana EJ, et al. J Comput Biol. 2016 Aug;23(8):678-92. doi: 10.1089/cmb.2016.0008. Epub 2016 Jun 27. J Comput Biol. 2016. PMID: 27347715 Free PMC article.

7

Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches.

deAndrés-Galiana EJ, Bea G, Fernández-Martínez JL, Saligan LN. deAndrés-Galiana EJ, et al. Comput Biol Med. 2019 Dec;115:103492. doi: 10.1016/j.compbiomed.2019.103492. Epub 2019 Oct 9. Comput Biol Med. 2019. PMID: 31627017

8

Supervised classification by filter methods and recursive feature elimination predicts risk of radiotherapy-related fatigue in patients with prostate cancer.

Saligan LN, Fernández-Martínez JL, deAndrés-Galiana EJ, Sonis S. Saligan LN, et al. Cancer Inform. 2014 Dec 1;13:141-52. doi: 10.4137/CIN.S19745. eCollection 2014. Cancer Inform. 2014. PMID: 25506196 Free PMC article.

9

Genomic data integration in chronic lymphocytic leukemia.

Fernández-Martínez JL, deAndrés-Galiana EJ, Sonis ST. Fernández-Martínez JL, et al. J Gene Med. 2017 Jan;19(1-2). doi: 10.1002/jgm.2936. J Gene Med. 2017. PMID: 27928896

10

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Reinbolt RE, Sonis S, Timmers CD, Fernández-Martínez JL, Cernea A, de Andrés-Galiana EJ, Hashemi S, Miller K, Pilarski R, Lustberg MB. Reinbolt RE, et al. Cancer Med. 2018 Jan;7(1):240-253. doi: 10.1002/cam4.1256. Epub 2017 Nov 23. Cancer Med. 2018. PMID: 29168353 Free PMC article.

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