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Bias detection and correction in RNA-Sequencing data
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scholarly article
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stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
title
Bias detection and correction in RNA-Sequencing data
(English)
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stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
main subject
bias
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based on heuristic
inferred from title
author name string
Wei Zheng
series ordinal
1
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
Lisa M Chung
series ordinal
2
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
Hongyu Zhao
series ordinal
3
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
publication date
19 July 2011
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stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
published in
BMC Bioinformatics
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stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
volume
12
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
page(s)
290
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
exact match
https://scigraph.springernature.com/pub.10.1186/1471-2105-12-290
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Length bias correction for RNA-seq data in gene set analyses
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Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
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A scaling normalization method for differential expression analysis of RNA-seq data
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Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
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RNA-Seq gene expression estimation with read mapping uncertainty
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Transcript length bias in RNA-seq data confounds systems biology
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TopHat: discovering splice junctions with RNA-Seq
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Statistical inferences for isoform expression in RNA-Seq
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Novel low abundance and transient RNAs in yeast revealed by tiling microarrays and ultra high-throughput sequencing are not conserved across closely related yeast species
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RNA-Seq: a revolutionary tool for transcriptomics
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Massively parallel signature sequencing (MPSS) as a tool for in-depth quantitative gene expression profiling in all organisms
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Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms
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CpG doublets, CpG islands and Alu repeats in long human DNA sequences from different isochore families.
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Relationship between gene expression and GC-content in mammals: statistical significance and biological relevance
1 reference
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reference URL
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retrieved
12 December 2020
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Identifiers
DOI
10.1186/1471-2105-12-290
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
DBLP publication ID
journals/bmcbi/ZhengCZ11
1 reference
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DBLP Dataset 2021-01-02
retrieved
28 January 2021
Dimensions Publication ID
1051501587
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PMC publication ID
3149584
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
PubMed ID
21771300
1 reference
stated in
Europe PubMed Central
PubMed ID
21771300
retrieved
30 July 2017
ResearchGate publication ID
51504202
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