Titlebook: Bioinformatics Research and Applications; 11th International S Robert Harrison,Yaohang Li,Ion Măndoiu Conference proceedings 2015 Springer

iniquity

书目名称Bioinformatics Research and Applications影响因子(影响力)




书目名称Bioinformatics Research and Applications影响因子(影响力)学科排名




书目名称Bioinformatics Research and Applications网络公开度




书目名称Bioinformatics Research and Applications网络公开度学科排名




书目名称Bioinformatics Research and Applications被引频次




书目名称Bioinformatics Research and Applications被引频次学科排名




书目名称Bioinformatics Research and Applications年度引用




书目名称Bioinformatics Research and Applications年度引用学科排名




书目名称Bioinformatics Research and Applications读者反馈




书目名称Bioinformatics Research and Applications读者反馈学科排名

MUT

labile

,Rechnen mit englischen Gewichten und Maßen,od was tested using twelve proteins of three types. We observed that the rank of the true topologies is consistently improved with the use of multiple secondary structure predictions over single prediction. The results show that the algorithm is robust and works well even in presence of errors/misse

我不明白

defray

,Rechnen mit englischen Gewichten und Maßen,cts that improve the prediction. We show it achieves better prediction accuracy than the state-of-the-art methods. To our knowledge, MINED is the first algorithm to detect epistasis in the genetic trait prediction problem. We further proposed a constrained version of MINED that converts the epistasi

女歌星

直觉好

conformity

https://doi.org/10.1007/978-3-322-89134-1reconciliation with non-binary gene trees and the complexity of the problem remains unknown. In this work, we resolve this open question by showing that the problem is, in fact, NP-hard. Our reduction applies to both the dated and undated formulations of DTL reconciliation. By resolving this long-st

小隔间

Fast Algorithms for Inferring Gene-Species Associations,s for the cases when the number of optimal reconstructions is large. We provide a comparative study of different cost functions showing that the duplication-loss cost induces mappings of the highest quality. Further, we demonstrate the correctness of our approach using several datasets.

斜谷

Couplet Supertree Based Species Tree Estimation,s the cause of gene tree / species tree incongruence. COSPEDSpec incurs time and space complexity lower or equal to the reference methods. For large scale datasets having hundreds of taxa and thousands of gene trees, COSPEDSpec produces species trees with lower branch dissimilarities and much less c