PhD in machine learning applied to bioinformatics.
Granada (Spain)
carrilloperezfrancisco at gmail dot com
pacocp pacocp9 franciscocpClick here for all publications
Carrillo-Perez, F., Morales JC, Castillo-Secilla D, Gevaert O, Rojas I, Herrera LJ. (2022)
Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis.
Journal of Personalized Medicine, 12(4), 601, https://doi.org/10.3390/jpm12040601
[Paper,
Code]
Carrillo-Perez, F., Morales, J. C., Castillo-Secilla, D., Molina-Castro, Y.,
Guillén, A., Rojas, I., & Herrera, L. J. (2021)
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion.
BMC bioinformatics, 22(1), 1-19, https://doi.org/10.1007/s00521-020-05679-9
[Paper,
Code]
Carrillo-Perez, F., Herrera, L. J., Carceller, J. M.,
& Guillén, A. (2021).
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals.
Neural Computing and Applications., 1-17, https://doi.org/10.1007/s00521-020-05679-9
[Paper,
Code]
Carrillo-Perez, F., Morales, J. C., Castillo-Secilla, D., Guillen, A., Rojas, I., & Herrera, L. J. (2021, July).
Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer.
In International Conference on Bioengineering and Biomedical Signal and Image Processing,(pp. 339-349), Springer, Cham.,
https://doi.org/10.1007/978-3-030-88163-4_29
[Paper,
Code]