Expression profiling of microRNAs by deep sequencing

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A review on machine learning principles for multi-view biological data integration (2016, background): “…to capture gene expression level, and discover alternative splicing, gene fusion and novel isoforms (transcriptomic level); microRNA (miRNA)-seq [11] snapshots expression of micro-RNAs that regulate mRNA translations (translation level); and protein arrays [12] and mass spectrometers are useful…”
miRNAs in human cancer (2010, methodology): “The main methods currently used for miRNA profiling are sequencing, microarray and real-time RT–PCRbased approaches (reviewed in [15–17]).”