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Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation., , , , , , , , and . Medical Image Analysis, (2017)MethylMix 2.0: an R package for identifying DNA methylation genes., , , and . Bioinformatics, 34 (17): 3044-3046 (2018)Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)., , and . Journal of Biomedical Informatics, (2017)Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations., , , , , , , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 165-172. Springer, (2008)3-D Convolutional Neural Networks for Glioblastoma Segmentation., , , and . CoRR, (2016)The center for expanded data annotation and retrieval., , , , , , , , , and 4 other author(s). JAMIA, 22 (6): 1148-1152 (2015)Supervised Classification of Array CGH Data with HMM-Based Feature Selection., , , , , and . Pacific Symposium on Biocomputing, page 468-479. (2009)Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features., and . Pacific Symposium on Biocomputing, page 123-134. World Scientific Publishing, (2013)Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer., , , , , , , and . ISBI, page 569-572. IEEE, (2017)Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013426. SPIE, (2017)