Noah Youngs, Ph.D.
Affiliations: | 2014 | Computer Science | New York University, New York, NY, United States |
Area:
Computer Science, Bioinformatics BiologyGoogle:
"Noah Youngs"Parents
Sign in to add mentor| Richard A. Bonneau | grad student | 2014 | NYU | |
| (Positive-Unlabeled Learning in the Context of Protein Function Prediction.) | ||||
| Dennis Shasha | grad student | 2014 | NYU | |
| (Positive-Unlabeled Learning in the Context of Protein Function Prediction.) | ||||
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Publications
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| Jiang T, Renfrew PD, Drew K, et al. (2018) An adaptive geometric search algorithm for macromolecular scaffold selection. Protein Engineering, Design & Selection : Peds |
| Jiang Y, Oron TR, Clark WT, et al. (2016) An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biology. 17: 184 |
| Youngs N, Shasha D, Bonneau R. (2016) Positive-Unlabeled Learning in the Face of Labeling Bias Proceedings - 15th Ieee International Conference On Data Mining Workshop, Icdmw 2015. 639-645 |
| Youngs N, Penfold-Brown D, Bonneau R, et al. (2014) Negative example selection for protein function prediction: the NoGO database. Plos Computational Biology. 10: e1003644 |
| Youngs N, Penfold-Brown D, Drew K, et al. (2013) Parametric Bayesian priors and better choice of negative examples improve protein function prediction. Bioinformatics (Oxford, England). 29: 1190-8 |
| Baltz AG, Munschauer M, Schwanhäusser B, et al. (2012) The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Molecular Cell. 46: 674-90 |