有灵感
发表于 2025-3-21 17:44:56
书目名称Gene Regulatory Networks影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0381955<br><br> <br><br>书目名称Gene Regulatory Networks读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0381955<br><br> <br><br>
Tidious
发表于 2025-3-21 21:24:45
https://doi.org/10.1007/978-3-642-51994-9up-Lasso penalty in order to select interactions which operate both at the proteomic and at the transcriptomic level between two genes. We end up with a . network embedding information shared at multiple scales of the cell. We illustrate this method on two breast cancer data sets. An .-package is pu
摄取
发表于 2025-3-22 02:19:21
Folsäure und Ursodesoxycholsäureby combining gene expression data with protein–protein interaction networks and proteomic datasets. We conclude with a section on practical applications of a network inference algorithm to infer a genome-scale regulatory network.
束以马具
发表于 2025-3-22 06:58:35
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chemical-peel
发表于 2025-3-22 12:32:51
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Middle-Ear
发表于 2025-3-22 13:39:10
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Middle-Ear
发表于 2025-3-22 20:43:26
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ICLE
发表于 2025-3-22 22:28:18
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现晕光
发表于 2025-3-23 01:29:15
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Pericarditis
发表于 2025-3-23 07:36:56
Integrative Approaches for Inference of Genome-Scale Gene Regulatory Networks,by combining gene expression data with protein–protein interaction networks and proteomic datasets. We conclude with a section on practical applications of a network inference algorithm to infer a genome-scale regulatory network.