 Connection
Casey Greene to Bayes Theorem
This is a "connection" page, showing publications Casey Greene has written about Bayes Theorem.
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Connection Strength |
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0.445 |
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Way GP, Greene CS. Bayesian deep learning for single-cell analysis. Nat Methods. 2018 12; 15(12):1009-1010.
Score: 0.140
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Greene CS, Krishnan A, Wong AK, Ricciotti E, Zelaya RA, Himmelstein DS, Zhang R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman DI, FitzGerald GA, Dolinski K, Grosser T, Troyanskaya OG. Understanding multicellular function and disease with human tissue-specific networks. Nat Genet. 2015 Jun; 47(6):569-76.
Score: 0.109
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Greene CS, Troyanskaya OG. Chapter 2: Data-driven view of disease biology. PLoS Comput Biol. 2012; 8(12):e1002816.
Score: 0.093
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Greene CS, Troyanskaya OG. Integrative systems biology for data-driven knowledge discovery. Semin Nephrol. 2010 Sep; 30(5):443-54.
Score: 0.079
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Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer for high-accuracy prediction of under-studied biological processes. PLoS Comput Biol. 2013; 9(3):e1002957.
Score: 0.024
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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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