Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes (Q34131312)

31 July 2017

title

Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes (English)

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31 July 2017

1 reference

Min Zhang

1

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31 July 2017

Lin Zhang

2

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31 July 2017

Jinfeng Zou

3

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31 July 2017

Chen Yao

4

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31 July 2017

Hui Xiao

5

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31 July 2017

Qing Liu

6

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31 July 2017

Jing Wang

7

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31 July 2017

Dong Wang

8

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31 July 2017

Chenguang Wang

9

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31 July 2017

Zheng Guo

10

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31 July 2017

language of work or name

English

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publication date

5 May 2009

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31 July 2017

number of pages

7

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inferred from page(s)

published in

Bioinformatics

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31 July 2017

volume

25

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31 July 2017

issue

13

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31 July 2017

page(s)

1662-1668

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Evaluation of inter-laboratory and cross-platform concordance of DNA microarrays through discriminating genes and classifier transferability.

31 July 2017

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes

5 July 2018

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Rat toxicogenomic study reveals analytical consistency across microarray platforms

5 July 2018

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The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

5 July 2018

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5 July 2018

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Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.

5 July 2018

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A new type of stochastic dependence revealed in gene expression data

5 July 2018

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Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer

5 July 2018

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Assessing stability of gene selection in microarray data analysis

5 July 2018

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Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles

5 July 2018

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A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data

5 July 2018

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Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential

5 July 2018

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The effects of normalization on the correlation structure of microarray data

5 July 2018

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Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements

5 July 2018

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Outcome signature genes in breast cancer: is there a unique set?

5 July 2018

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Gene expression profiling identifies clinically relevant subtypes of prostate cancer

5 July 2018

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5 July 2018

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5 July 2018

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A comparison of parametric versus permutation methods with applications to general and temporal microarray gene expression data

5 July 2018

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SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data

5 July 2018

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Gene expression comparison of biopsies from Duchenne muscular dystrophy (DMD) and normal skeletal muscle

5 July 2018

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Diversity of gene expression in adenocarcinoma of the lung

5 July 2018

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Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

5 July 2018

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5 July 2018

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5 July 2018

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Apparently low reproducibility of true differential expression discoveries in microarray studies.

5 July 2018

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Lessons from controversy: ovarian cancer screening and serum proteomics.

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28 October 2018

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Gene expression profiling in the early phases of DMD: a constant molecular signature characterizes DMD muscle from early postnatal life throughout disease progression

28 October 2018

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28 October 2018

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28 October 2018

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12 December 2020

Gene expression correlates of clinical prostate cancer behavior

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Identifiers

DOI

1 reference

journals/bioinformatics/ZhangZZYXLWWWG09

31 July 2017

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

31 July 2017

1 reference