majestic 发表于 2025-3-26 21:07:52
Identification of Disease Genes Using Gene Expression and Protein–Protein Interaction Datais reported to identify disease genes, judiciously integrating the information of gene expression profiles and shortest path analysis of protein-protein interaction networks. While the gene expression profiles have been used to select differentially expressed genes as disease genes using mutual infoVEST 发表于 2025-3-27 03:48:48
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Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classificationsify cancer versus normal samples or to classify different types or subtypes of cancer. Hence, one of the major tasks with the gene expression data is to find groups of co-regulated genes whose collective expression is strongly associated with the sample categories or response variables. In this regIsometric 发表于 2025-3-27 10:16:33
http://reply.papertrans.cn/87/8611/861042/861042_34.png切割 发表于 2025-3-27 17:39:37
http://reply.papertrans.cn/87/8611/861042/861042_35.pngvascular 发表于 2025-3-27 18:38:55
Rough Sets for Insilico Identification of Differentially Expressed miRNAs for selecting miRNAs from microarray expression data. It integrates the merit of rough set-based feature selection algorithm reported in Chap. . and theory of B.632+ bootstrap error rate. The effectiveness of the new approach, along with a comparison with other algorithms, is demonstrated on several miRNA data sets.遗传 发表于 2025-3-27 23:43:00
http://reply.papertrans.cn/87/8611/861042/861042_37.pngNarcissist 发表于 2025-3-28 02:54:05
http://reply.papertrans.cn/87/8611/861042/861042_38.png推测 发表于 2025-3-28 09:36:48
978-3-319-37965-4Springer International Publishing Switzerland 2014运气 发表于 2025-3-28 13:13:39
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