 Connection
Laura Saba to Algorithms
This is a "connection" page, showing publications Laura Saba has written about Algorithms.
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Connection Strength |
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0.182 |
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Seal S, Li Q, Basner EB, Saba LM, Kechris K. RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. PLoS Comput Biol. 2023 01; 19(1):e1010758.
Score: 0.131
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Shi WJ, Zhuang Y, Russell PH, Hobbs BD, Parker MM, Castaldi PJ, Rudra P, Vestal B, Hersh CP, Saba LM, Kechris K. Unsupervised discovery of phenotype-specific multi-omics networks. Bioinformatics. 2019 11 01; 35(21):4336-4343.
Score: 0.026
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Lyu Y, Xue L, Zhang F, Koch H, Saba L, Kechris K, Li Q. Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network. PLoS Comput Biol. 2018 09; 14(9):e1006436.
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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