Machine learning of single-cell transcriptome highly identifies mRNA signature by comparing F-score selection with DGE analysis

March 17, 2020 Leave a comment 2,957 Views

Human preimplantation development is a complex process involving dramatic changes in transcriptional architecture. For a better understanding of their time-spatial development, it is indispensable to identify...

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Machine learning of single-cell transcriptome highly identifies mRNA signature by comparing F-score selection with DGE analysis

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