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An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer's disease patients., , , , and . BIBM, page 2750-2752. IEEE Computer Society, (2018)Extending the Genomic Data Model and the Genometric Query Language with Domain Taxonomies., and . ICWE, volume 10360 of Lecture Notes in Computer Science, page 567-574. Springer, (2017)Clinical Data Mining: Problems, Pitfalls and Solutions., , and . DEXA Workshops, page 90-94. IEEE Computer Society, (2013)String-Matching and Alignment Algorithms for Finding Motifs in NGS Data., and . Algorithms for Next-Generation Sequencing Data, Springer, (2017)Combining DNA methylation and RNA sequencing data of cancer for supervised knowledge extraction., , and . BioData Min., 11 (1): 22:1-22:23 (2018)Combining EEG signal processing with supervised methods for Alzheimer's patients classification., , , , , , , , and . BMC Medical Informatics Decis. Mak., 18 (1): 35:1-35:10 (2018)Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer., , , and . DEXA Workshops, page 49-53. IEEE Computer Society, (2016)A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis., , , and . Comput. Methods Programs Biomed., (2017)Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers., , and . Big Data Res., (2018)Learning to classify species with barcodes., , and . BMC Bioinform., 10 (S-14): 7 (2009)