Global co-expression network analysis for key factor selection using high-throughput environment stress responsive RNA-seq
收藏DataCite Commons2023-08-14 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Global_co-expression_network_analysis_for_key_factor_selection_using_high-throughput_environment_stress_responsive_RNA-seq/23659218
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资源简介：
Additional files used when generating and validating RNA-seq data<br>Code Availability.docx --- Detailed code information used in this study.1.Z-score.zip --- Normalization results for comparing gene expression2.DEG information.xlsx --- Results of gene expression changes using DESeq2. 3.GO_Term.zip --- Gene ontology enrichment results for each stress.4.Raw_Network.zip --- Correlation scores and association information between genes. 5.Network_data.zip --- A table of the nodes and edges that make up the network. <br>
提供机构：
figshare
创建时间：
2023-07-17
