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Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations.

, , , , , and . CBMS, page 103-108. IEEE Computer Society, (2000)

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Supervised Classification of Array CGH Data with HMM-Based Feature Selection., , , , , and . Pacific Symposium on Biocomputing, page 468-479. (2009)Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer, , , , , , , , , and 427 other author(s). Nature genetics, 45 (4): 371-84, 384e1-2 (2013)Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines., , , , , and . AIME, volume 2780 of Lecture Notes in Computer Science, page 219-228. Springer, (2003)Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines., , , , , and . Artif. Intell. Medicine, 28 (3): 281-306 (2003)Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations., , , , , and . CBMS, page 103-108. IEEE Computer Society, (2000)M@CBETH: Optimizing Clinical Microarray Classification., , , , , , and . CSB Workshops, page 89-90. IEEE Computer Society, (2005)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)Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery., , , , , , , and . Neural Comput. Appl., 17 (5-6): 489-500 (2008)