BREED 发表于 2025-3-21 16:48:01
书目名称Methods of Microarray Data Analysis II影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0632401<br><br> <br><br>书目名称Methods of Microarray Data Analysis II读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0632401<br><br> <br><br>巧思 发表于 2025-3-21 23:33:18
http://reply.papertrans.cn/64/6325/632401/632401_2.png天赋 发表于 2025-3-22 03:45:16
Biology-driven Clustering of Microarray Data,e picture of the heterogeneity of different kinds of cancer. We also get information about the importance of different chromosomes and biological processes for distinguishing cancers. In general, methods that use existing biological knowledge are likely to provide more meaningful and more interpretable results than completely unsupervised methods.GULLY 发表于 2025-3-22 07:52:09
http://reply.papertrans.cn/64/6325/632401/632401_4.pngMONY 发表于 2025-3-22 09:35:25
Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Networksome biologically meaningful relationships among gene expression levels, drug activities, and cancer types, suggesting the usefulness of Bayesian network learning as a method for exploratory analysis of high-throughput genomic data.过份艳丽 发表于 2025-3-22 14:07:35
Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature,nd analyzed a set of 81 terms that can be grouped together via the literature. In addition, there is literature directly linking 52 of the terms with AML. Overall, the literature analysis identified 1028 sentences that directly relate two or more of the query genes.antiandrogen 发表于 2025-3-22 17:56:17
Book 2002nd beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. .Methods of Microarray Data Analysis II. is the second book in this pDignant 发表于 2025-3-22 21:55:23
http://reply.papertrans.cn/64/6325/632401/632401_8.pngINTER 发表于 2025-3-23 02:14:58
http://reply.papertrans.cn/64/6325/632401/632401_9.png西瓜 发表于 2025-3-23 07:41:03
http://reply.papertrans.cn/64/6325/632401/632401_10.png