能得到
发表于 2025-3-25 07:21:06
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NORM
发表于 2025-3-25 10:35:36
Gene Expression Data AnalysisThe objectives of this chapter are to teach generating DEGs in microarray gene expression data, extracting a gene cluster of genes with similar patterns of expression, classifying the observed data using SVM and KNN, and learning the basic syntax of the R program, a useful tool for genome data analysis.
轻率看法
发表于 2025-3-25 13:28:35
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细微的差异
发表于 2025-3-25 16:46:37
Molecular Pathways and Gene OntologyThis chapter covers several topics: (1) understanding biomedical data and knowledge resources, such as gene ontology and biological pathways, (2) the practical use of these systems, and (3) biological text mining based on biomedical resources.
争吵
发表于 2025-3-25 23:20:23
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Glutinous
发表于 2025-3-26 00:29:42
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使坚硬
发表于 2025-3-26 05:08:39
Industrialisierung und Beginn des Designsd variants. A number of software programs have been developed to identify statistically significant and clinically relevant SNPs, predict disease risk, and identify disease-related rare variants. This chapter introduces various bioinformatics resources used for the interpretation of personal genomic data.
Adherent
发表于 2025-3-26 11:25:34
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callous
发表于 2025-3-26 16:25:19
Mustapha Hamdi,Antoine Ferreirared genes obtained by microarray data clustering analysis and test the statistical significance of different prognoses between clusters. It provides an understanding of the correlation between biological interpretation and GO and pathway analysis of the clustered genes and an interpretation with GSEA of the clustered genes.
混合物
发表于 2025-3-26 17:26:35
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