DUBIT
发表于 2025-3-21 16:46:29
书目名称Research in Computational Molecular Biology影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0827949<br><br> <br><br>书目名称Research in Computational Molecular Biology读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0827949<br><br> <br><br>
使入迷
发表于 2025-3-21 21:31:04
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FRET
发表于 2025-3-22 02:01:57
978-3-540-33295-4Springer-Verlag Berlin Heidelberg 2006
洁净
发表于 2025-3-22 08:01:40
Research in Computational Molecular Biology978-3-540-33296-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
灯泡
发表于 2025-3-22 11:27:51
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引起痛苦
发表于 2025-3-22 15:44:55
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
faddish
发表于 2025-3-22 20:16:14
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Fsh238
发表于 2025-3-22 23:53:43
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
发表于 2025-3-23 05:10:23
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Terrace
发表于 2025-3-23 05:59:50
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