 Connection
Casey Greene to Computer Simulation
This is a "connection" page, showing publications Casey Greene has written about Computer Simulation.
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Connection Strength |
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0.493 |
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Beaulieu-Jones BK, Wu ZS, Williams C, Lee R, Bhavnani SP, Byrd JB, Greene CS. Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing. Circ Cardiovasc Qual Outcomes. 2019 07; 12(7):e005122.
Score: 0.122
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Hu Q, Greene CS. Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. Pac Symp Biocomput. 2019; 24:362-373.
Score: 0.118
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Harrington LX, Way GP, Doherty JA, Greene CS. Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses. Pac Symp Biocomput. 2018; 23:157-167.
Score: 0.110
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Greene CS, Himmelstein DS, Nelson HH, Kelsey KT, Williams SM, Andrew AS, Karagas MR, Moore JH. Enabling personal genomics with an explicit test of epistasis. Pac Symp Biocomput. 2010; 327-36.
Score: 0.063
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Greene CS, Penrod NM, Williams SM, Moore JH. Failure to replicate a genetic association may provide important clues about genetic architecture. PLoS One. 2009 Jun 02; 4(6):e5639.
Score: 0.061
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Ju W, Greene CS, Eichinger F, Nair V, Hodgin JB, Bitzer M, Lee YS, Zhu Q, Kehata M, Li M, Jiang S, Rastaldi MP, Cohen CD, Troyanskaya OG, Kretzler M. Defining cell-type specificity at the transcriptional level in human disease. Genome Res. 2013 Nov; 23(11):1862-73.
Score: 0.020
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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