QPROT: Statistical method for testing differential expression using protein-level intensity data in label-free quantitative proteomics. (Q30985868)

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21 February 2020

title

QPROT: Statistical method for testing differential expression using protein-level intensity data in label-free quantitative proteomics (English)

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21 February 2020

0 references

1

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21 February 2020

Alexey I. Nesvizhskii

5

object named as

Alexey I Nesvizhskii

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21 February 2020

author name string

Sinae Kim

2

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21 February 2020

Damian Fermin

3

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21 February 2020

Chih-Chiang Tsou

4

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21 February 2020

publication date

4 August 2015

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21 February 2020

published in

Journal of Proteomics

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21 February 2020

volume

129

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21 February 2020

page(s)

121-126

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MS1-based label-free proteomics using a quadrupole orbitrap mass spectrometer

21 February 2020

cites work

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Comparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data

21 June 2018

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21 June 2018

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21 June 2018

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Comparative evaluation of label-free SINQ normalized spectral index quantitation in the central proteomics facilities pipeline

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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On the beta-binomial model for analysis of spectral count data in label-free tandem mass spectrometry-based proteomics

21 June 2018

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Repeatability and reproducibility in proteomic identifications by liquid chromatography-tandem mass spectrometry

21 June 2018

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A statistical framework for protein quantitation in bottom-up MS-based proteomics.

21 June 2018

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MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification

21 June 2018

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Significance analysis of spectral count data in label-free shotgun proteomics

21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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21 June 2018

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Critical assessment of proteome-wide label-free absolute abundance estimation strategies

21 June 2018

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25 November 2018

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25 November 2018

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25 November 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26254008

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1016/J.JPROT.2015.07.036

1 reference

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21 February 2020

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21 February 2020

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