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A promoter-level mammalian expression atlas.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . Nat., 507 (7493): 462-470 (2014)

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Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data., , and . BIBE, page 98-103. IEEE, (2018)Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks., , and . IJCNN, page 1-6. IEEE, (2013)Simultaneous execution method of gene clustering and network inference., , and . CIBCB, page 1-7. IEEE, (2016)Observer design of positive quadratic systems., , and . ECC, page 843-848. IEEE, (2016)Transcriptional Dynamics Reveal Critical Roles for Non-coding RNAs in the Immediate-Early Response., , , , , , , , , and 4 other author(s). PLoS Comput. Biol., (2015)A promoter-level mammalian expression atlas., , , , , , , , , and 254 other author(s). Nat., 507 (7493): 462-470 (2014)An Effective Method for the Inference of Reduced S-system Models of Genetic Networks., , and . Inf. Media Technol., 10 (1): 166-174 (2015)Inference of genetic networks from time-series of gene expression levels using random forests., , and . CIBCB, page 1-6. IEEE, (2017)Improvement of reliabilities of regulations using a hierarchical structure in a genetic network., and . IJCNN, page 1-7. IEEE, (2015)Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations., , and . IJCNN, page 1-8. IEEE, (2012)