The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts AG Baltz, M Munschauer, B Schwanhäusser, A Vasile, Y Murakawa, ... Molecular cell 46 (5), 674-690, 2012 | 1310 | 2012 |
The ripple protocol consensus algorithm D Schwartz, N Youngs, A Britto Ripple Labs Inc White Paper 5 (8), 151, 2014 | 896 | 2014 |
An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 412 | 2016 |
Parametric Bayesian priors and better choice of negative examples improve protein function prediction N Youngs, D Penfold-Brown, K Drew, D Shasha, R Bonneau Bioinformatics 29 (9), 1190-1198, 2013 | 46 | 2013 |
Negative example selection for protein function prediction: the NoGO database N Youngs, D Penfold-Brown, R Bonneau, D Shasha PLoS computational biology 10 (6), e1003644, 2014 | 45 | 2014 |
The Ripple protocol consensus algorithm, 2014 D Schwartz, N Youngs, A Britto URL: https://ripple. com/files/ripple_consensus_whitepaper. pdf, 2014 | 42 | 2014 |
Positive-unlabeled learning in the face of labeling bias N Youngs, D Shasha, R Bonneau 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 639-645, 2015 | 16 | 2015 |
The Ripple Protocol Consensus Algorithm (Whitepaper) D Schwartz, N Youngs, A Britto Ripple Labs Inc Retrieved From03-02-2017 Httpsripple …, 2014 | 16 | 2014 |
The ripple protocol consensus algorithm S David, N Youngs, A Britto Ripple Labs Inc White Paper 5 (8), 151, 2014 | 13 | 2014 |
The ripple protocol consensus algorithm. Ripple Labs Inc.(2014) D Schwartz, N Youngs, A Britto Cited on, 112, 2021 | 8 | 2021 |
The Ripple Protocol Consensus Algorithm. Ripple Labs Inc White Paper (2014) D Schwartz, N Youngs, A Britto | 8 | 2014 |
An adaptive geometric search algorithm for macromolecular scaffold selection T Jiang, PD Renfrew, K Drew, N Youngs, GL Butterfoss, R Bonneau, ... Protein Engineering, Design and Selection 31 (9), 345-354, 2018 | 1 | 2018 |
Positive-unlabeled learning in the context of protein function prediction N Youngs New York University, 2014 | 1 | 2014 |
Availability: This version is available at: http://porto. polito. it/2649752/since: September 2016 Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... | | |
Progress in the Side-Chain Prediction Problem N Youngs | | |