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Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.

, , , , , , , и . IEEE J. Biomed. Health Informatics, 24 (7): 2119-2130 (2020)

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Daniel Castillo-Chevallier

Juan Daniel Castillo Gómez

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Roderick Castillo

 

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Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets., , , , , , , и . IEEE J. Biomed. Health Informatics, 24 (7): 2119-2130 (2020)Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer., , , , , и . BIOMESIP, том 12940 из Lecture Notes in Computer Science, стр. 339-349. Springer, (2021)Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification., , , и . IWANN (1), том 14134 из Lecture Notes in Computer Science, стр. 80-91. Springer, (2023)COVID-19 Biomarkers Detection Using 'KnowSeq' R Package., , , и . BIOMESIP, том 12940 из Lecture Notes in Computer Science, стр. 431-443. Springer, (2021)Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite., , , , и . IWBBIO (1), том 13346 из Lecture Notes in Computer Science, стр. 404-414. Springer, (2022)KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge., , , , , , , и . Comput. Biol. Medicine, (2021)Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure., , , , и . IWANN (1), том 14134 из Lecture Notes in Computer Science, стр. 553-562. Springer, (2023)Enhancing Breast Cancer Classification via Information and Multi-model Integration., , , , и . IWBBIO, том 12108 из Lecture Notes in Computer Science, стр. 750-760. Springer, (2020)Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population., , и . GECCO Companion, стр. 335-338. ACM, (2024)