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A Fully Automatic Gridding Method for cDNA Microarray Images., and . BMC Bioinform., (2011)An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data., , , , , and . J. Comput. Biol., 24 (8): 756-766 (2017)Novel pattern recognition approaches for transcriptomics data analysis.. University of Windsor, Ontario, Canada, (2014)base-search.net (ftunivwindsor:oai:scholar.uwindsor.ca:etd-6084).Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding., and . PRIB, volume 6282 of Lecture Notes in Computer Science, page 277-288. Springer, (2010)A Machine Learning Model for Discovery of Protein Isoforms as Biomarkers., , , and . BCB, page 474-475. ACM, (2016)Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning., , , , , , , and . F1000Research, (2016)A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data., , , , and . J. Biomed. Informatics, (2016)ZSeq 2.0: A fully automatic preprocessing method for next generation sequencing data., , and . BIBM, page 1762-1764. IEEE Computer Society, (2015)A new multi-level thresholding algorithm for finding peaks in ChIP-Seq data., and . ICCABS, page 1-6. IEEE Computer Society, (2014)A new algorithm for finding enriched regions in ChIP-Seq data., and . BCB, page 282-288. ACM, (2012)