A mew machine learning-based framework for mapping uncertainty analysis in RNA-Seq read alignment and gene expression estimation

August 31, 2018 Leave a comment 4,433 Views

One of the main benefits of using modern RNA-Sequencing (RNA-Seq) technology is the more accurate gene expression estimations compared with previous generations of expression data, such as the microarray. However, numerous issues can result...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: elastic-net

A mew machine learning-based framework for mapping uncertainty analysis in RNA-Seq read alignment and gene expression estimation

SNuBar-ATAC – simple oligonucleotide-based multiplexing of single-cell chromatin accessibility

Single cell RNA sequencing based identification and profiling of Leishmania parasitized host cells

Direct RNA sequencing reveals SARS-CoV-2 m6A sites

Single-cell RNA sequencing identifies of early-stage lung cancer biomarkers from circulating blood

scRNA-seq – Introduction to single cell RNA-seq data analysis

m6A-seq2 – multiplexed profiling facilitates robust m6A quantification at site, gene and sample resolution

Scientists use m6A RNA sequencing to gain new understanding of how brain cells talk