Ronald J. Wapner - researchr alias

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Viewing Publication 1 - 4 from 4

2016

Using Kernel Methods and Model Selection for Prediction of Preterm BirthIlia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner. mlhc 2016: 55-72 [doi]

2014

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype dataSebastian Köhler, Sandra C. Doelken, Christopher J. Mungall, Sebastian Bauer, Helen V. Firth, Isabelle Bailleul-Forestier, Graeme C. M. Black, Danielle L. Brown, Michael Brudno, Jennifer Campbell, David R. FitzPatrick, Janan T. Eppig, Andrew P. Jackson, Kathleen Freson, Marta Girdea, Ingo Helbig, Jane A. Hurst, Johanna Jähn, Laird G. Jackson, Anne M. Kelly, David H. Ledbetter, Sahar Mansour, Christa L. Martin, Celia Moss, Andrew Mumford, Willem Ouwehand, Soo-Mi Park, Erin Rooney Riggs, Richard H. Scott, Sanjay Sisodiya, Steven Van Vooren, Ronald J. Wapner, Andrew O. M. Wilkie, Caroline F. Wright, Anneke T. Vulto-van Silfhout, Nicole de Leeuw, Bert B. A. de Vries, Nicole L. Washington, Cynthia L. Smith, Monte Westerfield, Paul N. Schofield, Barbara J. Ruef, Georgios V. Gkoutos, Melissa Haendel, Damian Smedley, Suzanna E. Lewis, Peter N. Robinson. nar, 42(Database-Issue):966-974, 2014. [doi]

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype dataSebastian Köhler, Sandra C. Doelken, Christopher J. Mungall, Sebastian Bauer, Helen V. Firth, Isabelle Bailleul-Forestier, Graeme C. M. Black, Danielle L. Brown, Michael Brudno, Jennifer Campbell, David R. FitzPatrick, Janan T. Eppig, Andrew P. Jackson, Kathleen Freson, Marta Gîrdea, Ingo Helbig, Jane A. Hurst, Johanna Jähn, Laird G. Jackson, Anne M. Kelly, David H. Ledbetter, Sahar Mansour, Christa L. Martin, Celia Moss, Andrew Mumford, Willem Ouwehand, Soo-Mi Park, Erin Rooney Riggs, Richard H. Scott, Sanjay Sisodiya, Steven Van Vooren, Ronald J. Wapner, Andrew O. M. Wilkie, Caroline F. Wright, Anneke T. Vulto-van Silfhout, Nicole de Leeuw, Bert B. A. de Vries, Nicole L. Washington, Cynthia L. Smith, Monte Westerfield, Paul N. Schofield, Barbara J. Ruef, Georgios V. Gkoutos, Melissa Haendel, Damian Smedley, Suzanna E. Lewis, Peter N. Robinson. nar, 42(Database-Issue):966-974, 2014. [doi]

Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual WellnessIlia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar, Ronald J. Wapner. aaaiss 2014: [doi]

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