 Connection
Casey Greene to Models, Genetic
This is a "connection" page, showing publications Casey Greene has written about Models, Genetic.
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Connection Strength |
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0.521 |
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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: 0.267
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Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
Score: 0.121
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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: 0.069
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Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y. Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genet Epidemiol. 2020 01; 44(1):52-66.
Score: 0.034
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Kacsoh BZ, Greene CS, Bosco G. Machine Learning Analysis Identifies Drosophila Grunge/Atrophin as an Important Learning and Memory Gene Required for Memory Retention and Social Learning. G3 (Bethesda). 2017 11 06; 7(11):3705-3718.
Score: 0.030
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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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