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Identifying Informative Genes for Prediction of Breast Cancer Subtypes., , , , , , and . PRIB, volume 7986 of Lecture Notes in Computer Science, page 138-148. Springer, (2013)A Network-based Machine Learning Approach for Identifying Biomarkers of Breast Cancer Survivability., , , , and . BCB, page 639-644. ACM, (2019)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)An examination of how a cross-section of academics use computer technology when writing academic papers., , , and . Comput. Educ., 38 (1-3): 287-301 (2002)A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data., , , , and . J. Biomed. Informatics, (2016)A novel approach for finding informative genes in ten subtypes of breast cancer., , , , and . CIBCB, page 1-6. IEEE, (2015)Identifying differentially expressed transcripts associated with prostate cancer progression using RNA-Seq and machine learning techniques., , , , , and . CIBCB, page 1-5. IEEE, (2015)Breast cancer subtype identification using machine learning techniques., , , and . ICCABS, page 1-2. IEEE Computer Society, (2014)