Titlebook: Microeconomic Theory and Computation; Applying the Maxima Michael R. Hammock,J. Wilson Mixon Book 2013 Springer Science+Business Media New

鸟场

书目名称Microeconomic Theory and Computation影响因子(影响力)




书目名称Microeconomic Theory and Computation影响因子(影响力)学科排名




书目名称Microeconomic Theory and Computation网络公开度




书目名称Microeconomic Theory and Computation网络公开度学科排名




书目名称Microeconomic Theory and Computation被引频次




书目名称Microeconomic Theory and Computation被引频次学科排名




书目名称Microeconomic Theory and Computation年度引用




书目名称Microeconomic Theory and Computation年度引用学科排名




书目名称Microeconomic Theory and Computation读者反馈




书目名称Microeconomic Theory and Computation读者反馈学科排名

analogous

Michael R. Hammock,J. Wilson Mixonel, but not SparCC or glasso, correctly resolves a direct interaction structure among three community members that associate with . roots. We conclude that our method provides a structured, accurate, and distributionally reasonable way of modeling correlated count based random variables and capturin

愤慨点吧

Michael R. Hammock,J. Wilson Mixonequences with an optimal posterior matching score for each given MS/MS spectrum. Similar to the . peptide sequencing, the dynamic programming algorithm allows an efficient searching in the entire peptide sequence space. On an LC-MS/MS dataset, we demonstrated the performance of our algorithm in dete

聪明

Michael R. Hammock,J. Wilson Mixon metric is first estimated from DNA sequences, which leads to a key difficulty: distantly related sequences produce statistically unreliable estimates. This is problematic for Neighbor-Net as it is based on the popular tree reconstruction method Neighbor-Joining, whose sensitivity to distance estima

脱落

Michael R. Hammock,J. Wilson Mixonsent an efficient algorithm to estimate such a model in the high dimensional scenario. Results are reported on synthetic data, where NP-MuScL outperforms baseline algorithms significantly, even in the presence of noisy data sources. Experiments are also run on two real-world scenarios: two yeast mic

结构

uncertain

奇怪

Michael R. Hammock,J. Wilson Mixontworks, models the problem as a graph optimization problem, and presents fast algorithms for this problem. In order to capture the underlying biological processes correctly, we base our framework on duplication/divergence models that focus on understanding the evolution of PPI networks. Experimental

Type-1-Diabetes

Michael R. Hammock,J. Wilson Mixonimentally that optimal co-linear chaining cost under the proposed cost function can be computed orders of magnitude faster than edit distance, and achieves correlation coefficient above 0.9 with edit distance for closely as well as distantly related sequences.

Palpate

Michael R. Hammock,J. Wilson Mixon network propagation and altered subnetwork approaches. We derive a subnetwork family which we call the . that approximates the subnetworks ranked highly by network propagation. We introduce NetMix2, a principled algorithm for identifying altered subnetworks from a wide range of subnetwork families,