[HTML][HTML] Large scale comparison of gene expression levels by microarrays and RNAseq using TCGA data
RNAseq and microarray methods are frequently used to measure gene expression level.
While similar in purpose, there are fundamental differences between the two technologies …
While similar in purpose, there are fundamental differences between the two technologies …
Correlation between RNA-Seq and microarrays results using TCGA data
L Chen, F Sun, X Yang, Y Jin, M Shi, L Wang, Y Shi… - Gene, 2017 - Elsevier
RNA sequencing (RNA-Seq) and microarray are two of the most commonly used high-
throughput technologies for transcriptome profiling; however, they both have their own …
throughput technologies for transcriptome profiling; however, they both have their own …
[HTML][HTML] Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
RNA sequencing (RNA-Seq) is rapidly replacing microarrays for profiling gene expression
with much improved accuracy and sensitivity. One of the most common questions in a typical …
with much improved accuracy and sensitivity. One of the most common questions in a typical …
Length bias correction for RNA-seq data in gene set analyses
Motivation: Next-generation sequencing technologies are being rapidly applied to
quantifying transcripts (RNA-seq). However, due to the unique properties of the RNA-seq …
quantifying transcripts (RNA-seq). However, due to the unique properties of the RNA-seq …
[HTML][HTML] Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq
KJ Mantione, RM Kream, H Kuzelova… - … science monitor basic …, 2014 - ncbi.nlm.nih.gov
Understanding the control of gene expression is critical for our understanding of the
relationship between genotype and phenotype. The need for reliable assessment of …
relationship between genotype and phenotype. The need for reliable assessment of …
[HTML][HTML] RNA-seq gene profiling-a systematic empirical comparison
Accurately quantifying gene expression levels is a key goal of experiments using RNA-
sequencing to assay the transcriptome. This typically requires aligning the short reads …
sequencing to assay the transcriptome. This typically requires aligning the short reads …
[HTML][HTML] Increased comparability between RNA-Seq and microarray data by utilization of gene sets
FM van der Kloet, J Buurmans, MJ Jonker… - PLoS computational …, 2020 - journals.plos.org
The field of transcriptomics uses and measures mRNA as a proxy of gene expression. There
are currently two major platforms in use for quantifying mRNA, microarray and RNA-Seq …
are currently two major platforms in use for quantifying mRNA, microarray and RNA-Seq …
Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline
Y Rahmatallah, F Emmert-Streib… - Briefings in …, 2016 - academic.oup.com
Transcriptome sequencing (RNA-seq) is gradually replacing microarrays for high-throughput
studies of gene expression. The main challenge of analyzing microarray data is not in …
studies of gene expression. The main challenge of analyzing microarray data is not in …
[HTML][HTML] Microarrays, deep sequencing and the true measure of the transcriptome
Microarrays first made the analysis of the transcriptome possible, and have produced much
important information. Today, however, researchers are increasingly turning to direct high …
important information. Today, however, researchers are increasingly turning to direct high …
[HTML][HTML] RNA-Seq vs dual-and single-channel microarray data: sensitivity analysis for differential expression and clustering
With the fast development of high-throughput sequencing technologies, a new generation of
genome-wide gene expression measurements is under way. This is based on mRNA …
genome-wide gene expression measurements is under way. This is based on mRNA …