但是不少粉丝表示不明白这些东西是做什么的,现在就给一个示例,文章是发表于2017的纯粹生物信息学数据挖掘的:Identification of miRNA‐mRNA crosstalk in laryngeal squamous cell carcinoma,其实你把癌症替换成为TCGA的另外33种癌症,都是类似的分析策略,类似的写作思路。这样的文章,你直接定位到材料与方法即可:
The DEMs targeted by DEMIs were identified and the negative correlation between DEMs and DEMIs was subjected to visualization.
The potential functions of DEMs targeted by DEMIs were annotated in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database.
A total of 663 dysregulated DEMs (449 upregulated and 214 downregulated) and 33 DEMIs (24 upregulated and 8 downregulated) were identified in LSCC compared with normal controls.
502 negative correlations between DEMIs and DEMs were identified and subjected to construct interaction network.