Putting machine learning and artificial intelligence to work for correction of sequence-specific bias in RNA-Seq data

February 16, 2017 Leave a comment 6,496 Views

The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. ...

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Tag Archives: MAQC-III

Putting machine learning and artificial intelligence to work for correction of sequence-specific bias in RNA-Seq data

Voltage-Seq – all-optical voltage imaging-guided postsynaptic single-cell transcriptome profiling

Researchers identify three genes associated with neurodevelopmental disorders

Fragment-Seq – local tissue microenvironments at single-cell resolution

snHH-Seq – pan-cancer single-nucleus total RNA sequencing

Optimised RNA extraction method unlocks tough tissues for aquaculture research

dsRID – in silico identification of dsRNA regions using long-read RNA-seq data

FUN-PROSE – predicting the response of fungal genes