| Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling D Castillo, JM Gálvez, LJ Herrera, BS Román, F Rojas, I Rojas BMC bioinformatics 18, 1-15, 2017 | 59 | 2017 |
| Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level D Castillo, JM Galvez, LJ Herrera, F Rojas, O Valenzuela, O Caba, ... PloS one 14 (2), e0212127, 2019 | 53 | 2019 |
| Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series JM Gálvez, D Castillo, LJ Herrera, B San Román, O Valenzuela, ... PloS one 13 (5), e0196836, 2018 | 29 | 2018 |
| Machine-learning-based late fusion on multi-omics and multi-scale data for non-small-cell lung cancer diagnosis F Carrillo-Perez, JC Morales, D Castillo-Secilla, O Gevaert, I Rojas, ... Journal of Personalized Medicine 12 (4), 601, 2022 | 24 | 2022 |
| Towards improving skin cancer diagnosis by integrating microarray and RNA-seq datasets JM Gálvez, D Castillo-Secilla, LJ Herrera, O Valenzuela, O Caba, ... IEEE journal of biomedical and health informatics 24 (7), 2119-2130, 2019 | 23 | 2019 |
| KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge D Castillo-Secilla, JM Gálvez, F Carrillo-Perez, M Verona-Almeida, ... Computers in Biology and Medicine 133, 104387, 2021 | 22 | 2021 |
| Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion F Carrillo-Perez, JC Morales, D Castillo-Secilla, Y Molina-Castro, ... BMC bioinformatics 22, 1-19, 2021 | 21 | 2021 |
| Feature selection and assessment of lung cancer sub-types by applying predictive models S González, D Castillo, JM Galvez, I Rojas, LJ Herrera Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 9 | 2019 |
| Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification JC Gómez-López, D Castillo-Secilla, D Kimovski, J González International Work-Conference on Artificial Neural Networks, 80-91, 2023 | 2 | 2023 |
| Predicting COVID-19 Severity Integrating RNA-Seq Data Using Machine Learning Techniques J Bajo-Morales, D Castillo-Secilla, LJ Herrera, O Caba, JC Prados, ... Current Bioinformatics 18 (3), 221-231, 2023 | 2 | 2023 |
| COVID-19 Biomarkers Recognition & Classification Using Intelligent Systems J Bajo-Morales, JC Prieto-Prieto, LJ Herrera, I Rojas, D Castillo-Secilla Current Bioinformatics 17 (5), 426-439, 2022 | 2 | 2022 |
| Heterogeneous gene expression cross-evaluation of Robust biomarkers using machine learning techniques applied to lung cancer J Bajo-Morales, JM Galvez, JC Prieto-Prieto, LJ Herrera, I Rojas, ... Current Bioinformatics 17 (2), 150-163, 2022 | 2 | 2022 |
| Bioengineering and Biomedical Signal and Image Processing I Rojas, D Castillo-Secilla, LJ Herrera, H Pomares | 2* | 2021 |
| Enhancing breast cancer classification via information and multi-model integration JC Morales, F Carrillo-Perez, D Castillo-Secilla, I Rojas, LJ Herrera Bioinformatics and Biomedical Engineering: 8th International Work-Conference …, 2020 | 2 | 2020 |
| Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure JC Gómez-López, D Castillo-Secilla, J González, LJ Herrera, I Rojas International Work-Conference on Artificial Neural Networks, 553-562, 2023 | 1 | 2023 |
| Comprehensive pan-cancer gene signature assessment through the implementation of a cascade machine learning system D Castillo-Secilla, JM Galvez, F Carrillo-Perez, JC Prieto-Prieto, ... Current Bioinformatics 18 (1), 40-54, 2023 | 1 | 2023 |
| Comparison of fusion methodologies using CNV and RNA-seq for cancer classification: a case study on non-small-cell lung cancer F Carrillo-Perez, JC Morales, D Castillo-Secilla, A Guillen, I Rojas, ... Bioengineering and Biomedical Signal and Image Processing: First …, 2021 | 1 | 2021 |
| Breast Cancer Microarray and RNASeq Data Integration Applied to Classification D Castillo, JM Galvez, LJ Herrera, I Rojas Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 1 | 2017 |
| Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population JC Gómez-López, D Castillo-Secilla, J González Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
| 6-gene machine learning-found signature for the differentiation of pancreatic ductal carcinoma and chronic pancreatitis patients on peripheral blood mononuclear cells RNA-Seq data F Carrillo-Perez, O Caba, C Jiménez-Luna, F Ortuño, D Castillo-Secilla, ... Available at SSRN 4409594, 2023 | | 2023 |
Ignacio RojasProfessor of Computer Architecture and Computer Technology. University of GranadaПотвърден имейл адрес: ugr.es
