Wang, Ti-TaiTi-TaiWangLee, Chien-YuehChien-YuehLeeLIANG-CHUAN LAIMONG-HSUN TSAITZU-PIN LUERIC YAO-YU CHUANG2019-07-082019-07-082019-05-1414712105https://scholars.lib.ntu.edu.tw/handle/123456789/412845https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065705024&doi=10.1186%2fs12859-019-2870-x&partnerID=40&md5=bb2977e65400450c3e3d695bec1b4894With advancements in high-throughput technologies, the cost of obtaining expression profiles of both mRNA and microRNA in the same individual has substantially decreased. Integrated analysis of these profiles can help to elucidate the functional effects of RNA expression in complex diseases, such as cancer. However, fundamental discrepancies are observed in the results from microRNA-mRNA target gene prediction algorithms, and few packages can be used to analyze microRNA and mRNA expression levels simultaneously.enFunctional enrichment analysis; Gene expression; MicroRNA; R/Bioconductor[SDGs]SDG3Nucleic acids; RNA; Biological functions; Functional enrichment analysis; Gene expression profiling; High throughput technology; Microarray data sets; MicroRNAs; MRNA expression level; R/Bioconductor; Gene expression; microRNA; algorithm; gene expression profiling; genetics; human; procedures; Algorithms; Gene Expression Profiling; Humans; MicroRNAsjournal article10.1186/s12859-019-2870-x310883482-s2.0-85065705024WOS:000468041800002https://api.elsevier.com/content/abstract/scopus_id/85065705024