Titlebook: Research in Computational Molecular Biology; 10th Annual Internat Alberto Apostolico,Concettina Guerra,Michael Water Conference proceedings

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书目名称Research in Computational Molecular Biology影响因子(影响力)




书目名称Research in Computational Molecular Biology影响因子(影响力)学科排名




书目名称Research in Computational Molecular Biology网络公开度




书目名称Research in Computational Molecular Biology网络公开度学科排名




书目名称Research in Computational Molecular Biology被引频次




书目名称Research in Computational Molecular Biology被引频次学科排名




书目名称Research in Computational Molecular Biology年度引用




书目名称Research in Computational Molecular Biology年度引用学科排名




书目名称Research in Computational Molecular Biology读者反馈




书目名称Research in Computational Molecular Biology读者反馈学科排名

使入迷

FRET

978-3-540-33295-4Springer-Verlag Berlin Heidelberg 2006

洁净

Research in Computational Molecular Biology978-3-540-33296-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

灯泡

引起痛苦

Integrated Protein Interaction Networks for 11 Microbes, algorithm naturally handles statistically dependent predictors and automatically corrects for differing noise levels and data corruption in different evidence sources. We find that many of the predictions in each integrated network hinge on moderate but consistent evidence from multiple sources rat

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Fsh238

Biological Networks: Comparison, Conservation, and Evolutionary Trees,f describing one network, given the description of the other one, as a distance measure. We employ these distances as inputs for generating phylogenetic trees. Our algorithms are fast enough for generating phylogenetic tree of more than two hundreds metabolic networks that appear in KEGG. Using KEGG

Blazon

Terrace

Clustering Short Gene Expression Profiles,ay data anlysis. Here we present an extension of CAGED (Cluster Analysis of Gene Expression Dynamics, one of the most commonly used programs) to identify similar gene expression patterns measured in either short time-course or dose-response microarray experiments. Compared to the initial version of