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

iniquity

書目名稱Bioinformatics Research and Applications影響因子(影響力)




書目名稱Bioinformatics Research and Applications影響因子(影響力)學(xué)科排名




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開度




書目名稱Bioinformatics Research and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bioinformatics Research and Applications被引頻次




書目名稱Bioinformatics Research and Applications被引頻次學(xué)科排名




書目名稱Bioinformatics Research and Applications年度引用




書目名稱Bioinformatics Research and Applications年度引用學(xué)科排名




書目名稱Bioinformatics Research and Applications讀者反饋




書目名稱Bioinformatics Research and Applications讀者反饋學(xué)科排名

MUT

labile

,Rechnen mit englischen Gewichten und Ma?en,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 Ma?en,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

直覺好

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

小隔間

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