<p>Each row depicts the fraction of cis-eQTLs discovered using a particular normalization method that are also discovered in another normalized version. For example, the element at row <i>i</i> and column <i>j</i> (the element) depicts the proportion of cis-eQTLs discovered using normalization method <i>i</i> that are also discovered in normalization method <i>j</i>.</p
High throughput molecular-interaction studies using immunoprecipitations (IP) or affinity purificati...
<p>Distributions of logged expression levels from 11 samples of an RNA-Seq experiment. These distrib...
In recent years, RNA-Seq technologies became a powerful tool for transcriptome studies. However, com...
<p>Number of detected <i>cis-</i>eQTLs in transcript-wise analysis of three harmonized RNA NGS datas...
<p>First, ΔCq was calculated using the mentioned normalizing method for all 218 miRNA in each sample...
(A) z-scores for expression QTL (eQTL) SNP-gene pairs discovered in pooled single cell RNA-seq data ...
<p>FDR: false discovery rate; FWER: family-wise error rate; SD: standard deviation; IQR: inter-quart...
Normalization of read counts is an important data processing step in the detection of differentially...
Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of ...
<p>In plot <b>A</b>, the result was summarized according to the involved genes (RefSeq mRNAs). In pl...
Abstract Background High-throughput techniques bring novel tools and also statistical challenges to ...
<p>(A, B, C) eQTL replication frequency (y-axis) as a function of discovery significance (x-axis: )....
<p>Distributions of logged expression levels from 11 samples of an RNA-Seq experiment. These distrib...
We examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried...
The sequencing of the full transcriptome (RNA-seq) has become the preferred choice for the measureme...
High throughput molecular-interaction studies using immunoprecipitations (IP) or affinity purificati...
<p>Distributions of logged expression levels from 11 samples of an RNA-Seq experiment. These distrib...
In recent years, RNA-Seq technologies became a powerful tool for transcriptome studies. However, com...
<p>Number of detected <i>cis-</i>eQTLs in transcript-wise analysis of three harmonized RNA NGS datas...
<p>First, ΔCq was calculated using the mentioned normalizing method for all 218 miRNA in each sample...
(A) z-scores for expression QTL (eQTL) SNP-gene pairs discovered in pooled single cell RNA-seq data ...
<p>FDR: false discovery rate; FWER: family-wise error rate; SD: standard deviation; IQR: inter-quart...
Normalization of read counts is an important data processing step in the detection of differentially...
Normalization of RNA-sequencing (RNA-seq) data has proven essential to ensure accurate inference of ...
<p>In plot <b>A</b>, the result was summarized according to the involved genes (RefSeq mRNAs). In pl...
Abstract Background High-throughput techniques bring novel tools and also statistical challenges to ...
<p>(A, B, C) eQTL replication frequency (y-axis) as a function of discovery significance (x-axis: )....
<p>Distributions of logged expression levels from 11 samples of an RNA-Seq experiment. These distrib...
We examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried...
The sequencing of the full transcriptome (RNA-seq) has become the preferred choice for the measureme...
High throughput molecular-interaction studies using immunoprecipitations (IP) or affinity purificati...
<p>Distributions of logged expression levels from 11 samples of an RNA-Seq experiment. These distrib...
In recent years, RNA-Seq technologies became a powerful tool for transcriptome studies. However, com...