A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer’s disease

September 22, 2020 Leave a comment 2,189 Views

Next-generation sequencing (NGS) technology has become a powerful tool for dissecting the molecular and pathological signatures of a variety of human...

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

February 27, 2020 Leave a comment 3,497 Views

Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can assess the function of an individual cell and cell-to-cell variability at the single cell level in an unbiased manner. Dimensionality reduction is an essential first step in downstream analysis of ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Generative adversarial networks

A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer’s disease

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing 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