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 4,909 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

Predicting response to immune checkpoint blockade in NSCLC with tumour-only RNA-seq

MATQ_Drop – Multiple-Annealing-and-Tailing-based Quantitative scRNA-seq in Droplets

Featured RNA-Seq Job – Research Technician II – Single Cell RNA Sequencing

IMMUcan scDB – a fully integrated scRNA-seq database exclusively dedicated to human cancer

Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data

Mutant KRAS signaling drives alternative splicing in lung cancer cells

Single cell RNA-sequencing identifies cause for loss of smell in long COVID patients