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

MAXIM

書目名稱Algorithms in Bioinformatics影響因子(影響力)




書目名稱Algorithms in Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱Algorithms in Bioinformatics網(wǎng)絡(luò)公開度




書目名稱Algorithms in Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithms in Bioinformatics被引頻次




書目名稱Algorithms in Bioinformatics被引頻次學(xué)科排名




書目名稱Algorithms in Bioinformatics年度引用




書目名稱Algorithms in Bioinformatics年度引用學(xué)科排名




書目名稱Algorithms in Bioinformatics讀者反饋




書目名稱Algorithms in Bioinformatics讀者反饋學(xué)科排名

錯

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

允許

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

不可知論

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