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Application of different classification techniques on brain morphological data.

, , , , , and . CBMS, page 425-428. IEEE Computer Society, (2013)

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A Discussion on the Biological Relevance of Clustering Results., , , and . ITBAM, volume 8649 of Lecture Notes in Computer Science, page 30-44. Springer, (2014)Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation., , , , , and . BCB, page 616-621. ACM, (2016)The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis., , , , , , , , and . SIGHIT Record, 2 (2): 16-21 (2012)mu-CS: An extension of the TM4 platform to manage Affymetrix binary data., and . BMC Bioinform., (2010)Learning Weighted Association Rules in Human Phenotype Ontology., , , and . CoRR, (2017)Using Ontologies in PROTEUS for Modeling Proteomics Data Mining Applications., , , , and . HealthGrid, volume 112 of Studies in Health Technology and Informatics, page 17-26. IOS Press, (2005)Efficient Data Mining Analysis of Genomics and Clinical Data for Pharmacogenomics Applications., , and . WILF, volume 10147 of Lecture Notes in Computer Science, page 239-248. (2016)Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer., , , , , , , , , and 4 other author(s). WIRN, page 21-28. Springer, (2004)Parallel and Distributed Analysis of Microarray Data., , and . TopHPC, volume 33 of Advances in Parallel Computing, page 275-288. IOS Press, (2017)Towards Local Alignment of Multiple Networks: Multi-GLAlign., , and . BCB, page 658-662. ACM, (2019)