Titlebook: Algorithms in Bioinformatics; 15th International W Mihai Pop,Hélène Touzet Conference proceedings 2015 Springer-Verlag Berlin Heidelberg 20

MAXIM

书目名称Algorithms in Bioinformatics影响因子(影响力)




书目名称Algorithms in Bioinformatics影响因子(影响力)学科排名




书目名称Algorithms in Bioinformatics网络公开度




书目名称Algorithms in Bioinformatics网络公开度学科排名




书目名称Algorithms in Bioinformatics被引频次




书目名称Algorithms in Bioinformatics被引频次学科排名




书目名称Algorithms in Bioinformatics年度引用




书目名称Algorithms in Bioinformatics年度引用学科排名




书目名称Algorithms in Bioinformatics读者反馈




书目名称Algorithms in Bioinformatics读者反馈学科排名

错

initiate

OTTER

A Sub-quadratic Time and Space Complexity Solution for the Dated Tree Reconciliation Problem for Seonary trees. Our theoretical results are then validated using a combination of synthetic and biological data with our proposed model shown to save almost . space while finishing in half the time compared to existing methodologies.

Vasodilation

Maximum Parsimony Analysis of Gene Copy Number Changes,or large datasets. In this paper we design a new algorithm for the RSMT problem, based on Maximum Parsimony phylogeny inference. Experimental results from both simulated and real tumor data show that our approach outperforms previous heuristics for the RSMT problem, thus obtaining better models for

允许

Multiple-Ancestor Localization for Recently Admixed Individuals,tions integrated into a two-layered Hidden Markov Model, designed to capture both long-range correlations between SNPs due to the recent mixing and short-range correlations due to linkage disequilibrium. We evaluate the method on both simulated and real European data, and demonstrate that it achieve

zonules

Lacerate

不可知论

Sparse RNA Folding Revisited: Space-Efficient Minimum Free Energy Prediction,s. Then, we present the time- and space-efficient sparsified free energy minimization algorithm ., which guarantees optimal structure prediction. In particular, this novel algorithm provides efficient fold reconstruction based on dynamically garbage collected trace arrows. We provide theoretical and

外露

https://doi.org/10.1007/978-3-658-05889-0onstant, symmetric and plaid biclustering models. Second, we propose a solution to discover these flexible modules without time and memory bottlenecks by seizing high efficiency gains from the inherent structural sparsity of networks. Results from the analysis of protein and gene interaction network