Papers: 10.1186/s13195-021-00862-z
https://doi.org/10.1186/s13195-021-00862-z
Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer’s disease by meta-analysis and adaptive boosting ensemble learning
Cited by: 26
Author(s): Sze Chung Yuen, Xueya Liang, Hongmei Zhu, Yongliang Jia, Siu-wai Leung
Published: about 4 years ago
Software Mentions 5
bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics dataPapers that mentioned: 2,223
Very Likely Science (75)
Very Likely Science (100)
bioconductor: miRNAmeConverter
Convert miRNA Names to Different miRBase VersionsPapers that mentioned: 6
Very Likely Science (75)
bioconductor: multiMiR
Integration of multiple microRNA-target databases with their disease and drug associationsPapers that mentioned: 43
Very Likely Science (100)
Very Likely Science (100)