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

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書(shū)目名稱(chēng)Research in Computational Molecular Biology被引頻次




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書(shū)目名稱(chēng)Research in Computational Molecular Biology讀者反饋




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

潔凈

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

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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

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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