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Noah Youngs
Noah Youngs
Department of Computer Science, New York University
Verified email at nyu.edu
Title
Cited by
Cited by
Year
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
12962012
The ripple protocol consensus algorithm
D Schwartz, N Youngs, A Britto
Ripple Labs Inc White Paper 5 (8), 151, 2014
8852014
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
4072016
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
462013
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
452014
The Ripple protocol consensus algorithm, 2014
D Schwartz, N Youngs, A Britto
URL: https://ripple. com/files/ripple_consensus_whitepaper. pdf, 2014
412014
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
162015
The Ripple Protocol Consensus Algorithm (Whitepaper)
D Schwartz, N Youngs, A Britto
Ripple Labs Inc Retrieved From03-02-2017 Httpsripple …, 2014
162014
The ripple protocol consensus algorithm
S David, N Youngs, A Britto
Ripple Labs Inc White Paper 5 (8), 151, 2014
132014
The ripple protocol consensus algorithm. Ripple Labs Inc.(2014)
D Schwartz, N Youngs, A Britto
Cited on, 112, 2021
82021
The Ripple Protocol Consensus Algorithm. Ripple Labs Inc White Paper (2014)
D Schwartz, N Youngs, A Britto
82014
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
12018
Positive-unlabeled learning in the context of protein function prediction
N Youngs
New York University, 2014
12014
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
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Articles 1–15