Titlebook: Embryonic Stem Cells; John R. Masters,Bernhard O. Palsson,James A. Thoms Book 2007 Springer Science+Business Media B.V. 2007 cell.cell dif

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書目名稱Embryonic Stem Cells影響因子(影響力)




書目名稱Embryonic Stem Cells影響因子(影響力)學(xué)科排名




書目名稱Embryonic Stem Cells網(wǎng)絡(luò)公開度




書目名稱Embryonic Stem Cells網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Embryonic Stem Cells被引頻次




書目名稱Embryonic Stem Cells被引頻次學(xué)科排名




書目名稱Embryonic Stem Cells年度引用




書目名稱Embryonic Stem Cells年度引用學(xué)科排名




書目名稱Embryonic Stem Cells讀者反饋




書目名稱Embryonic Stem Cells讀者反饋學(xué)科排名

愛哭

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Thomas P. Zwakarages drug cycle information, adaptive time-to-event toxicity distribution, and three-parameter logistic regression extension on the basis of BLRM. In the toxicity interval-based class, we review R-TPI method for the Toxicity Probability Interval method, TITE-BOIN which imputes the unobserved DLT, a

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Chantal Cerdan,Veronica Ramos-Mejia,Mickie Bhatiaon expansions of solutions of the diffusion equation, can be used as inputs to an information-geometric approach to parameter sensitivity estimation. We illustrate our methods using model systems drawn from Nuclear Magnetic Resonance, Electron Spin Resonance, and Nuclear Quadrupole Resonance.

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Nadav Sharon,Nissim Benvenistyccompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved.?.Bayesian Inference for Probabilistic Risk Assessment .also covers the important topics of MCMC convergence and Bayesian model checking..Bayesian Inference

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Bettina Fishman,Hanna Segev,Joseph Itskovitz-Eldor This book brings together many of these methods, presenting an accessible and comprehensive introduction to state space models. A number of data sets from different disciplines are used to illustrate the methods and show how they are applied in practice. The R package BTSA, created for the book, in