Ronald J. Wapner

According to our database, Ronald J. Wapner authored at least 3 papers between 2014 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

Using Kernel Methods and Model Selection for Prediction of Preterm Birth.

Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Thomas Koch, Alex Rybchuk, Axinia Radeva, Ashwath Rajan, Yiwen Huang, Hatim Diab, Ashish Tomar, Ronald J. Wapner

Proceedings of the 1st Machine Learning in Health Care, 2016

2014

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.

Sebastian 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 D. Mumford, Willem H. 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 A. Haendel, Damian Smedley, Suzanna E. Lewis, Peter N. Robinson

Nucleic Acids Res., 2014

Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness.

Ilia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar, Ronald J. Wapner

Proceedings of the 2014 AAAI Spring Symposia, 2014