Ask
Search
My library
ORKG

ORKG Ask

Our mission is to organize scholarly knowledge and make it accessible to humans and machines.

About

About ORKG Ask
Report issue
Statistics
Contact

Legal

Terms of use
Data protection (sheet)
Imprint
Accessibility
License

Technical

We
open source
System status
Changelog
Frontend: v1.41.0
Backend: v1.13.4

We use cookies to provide a better user experience.

Data Protection

Correlation of cluster nt average vs microarray.

Fermín Mar-Aguilar (433385)
Victor Trevino (8900)
Jannet E. Salinas-Hernández (433386)
Marcela M. Taméz-Guerrero (433387)
María P. Barrón-González (433388)
Eufemia Morales-Rubio (433389)
Jaime Treviño-Neávez (433390)
Jorge A. Verduzco-Martínez (433391)
Mario R. Morales-Vallarta (433392)
Diana Reséndez-Pérez (433393)

Publication date

July 2013

DOI

10.1371/journal.pone.0068202.g003

Abstract

<p>The correlation of 0.532 suggesting agreement between expression estimations from the microarray and deep sequencing.</p

Extracted data

Related items

Comparison of differentially expressed genes in our RNA-seq and public dataset.

Mathieu Lajoie (3863344)
Simon Drouin (97528)
Maxime Caron (3465692)
Pascal St-Onge (3863350)
Manon Ouimet (3481763)
Romain Gioia (3863341)
Marie-Hélène Lafond (3863347)
Ramon Vidal (2619952)
Chantal Richer (221808)
Karim Oualkacha (698776)
Arnaud Droit (36418)
Daniel Sinnett (221809)

March 2017

<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...

K-means cluster analysis comparison of microarray and LC-FTICR expression ratio data.

Katrina M. Waters (175537)
Tao Liu (10785)
Ryan D. Quesenberry (175540)
Alan R. Willse (175543)
Somnath Bandyopadhyay (175547)
Loel E. Kathmann (175549)
Thomas J. Weber (175552)
Richard D. Smith (39311)
H. Steven Wiley (175554)
Brian D. Thrall (175555)

March 2012

<p>The left panel shows the overall results for 446 RNA/protein pairs expressed as the log<sub>10</s...

Correlation between differential gene expressions obtained through real-time PCR and microarray approaches.

Sophie Depiereux (518345)
Bertrand De Meulder (518342)
Eric Bareke (518344)
Fabrice Berger (518343)
Florence Le Gac (65558)
Eric Depiereux (518346)
Patrick Kestemont (600085)

July 2015

<p>Values were obtained from mean values of 6 replicates per conditions in the 4 conditions tested (...

Correlation of expression levels between microarray and nCounter in all 90 subjects.

Courtney Schiffman (5832764)
Cliona M. McHale (157569)
Alan E. Hubbard (71839)
Luoping Zhang (13194)
Reuben Thomas (77979)
Roel Vermeulen (68721)
Guilan Li (68727)
Min Shen (68726)
Stephen M. Rappaport (68730)
Songnian Yin (68728)
Qing Lan (43795)
Martyn T. Smith (68725)
Nathaniel Rothman (68724)

October 2018

Correlation of expression levels between microarray and nCounter in all 90 subjects.</p

Assessing agreement of clustering methods with gene expression microarray data

Liu, Xueli
Lee, Sheng-Chien
Casella, George
Peter, Gary F.

In the rapidly evolving field of genomics, many clustering and classification methods have been deve...

Distribution of correlations between microarray and sequencing profiles for miRNA and gene expression.

Ying-Wooi Wan (243650)
Claire M. Mach (516335)
Genevera I. Allen (479231)
Matthew L. Anderson (251963)
Zhandong Liu (516336)

January 2014

<p>(A) Histogram of correlation coefficients for individual miRNAs measured by miRNA-Seq and miRNA a...

Correlation between gene expression patterns obtained through real-time PCR and microarray approaches.

Thérèse Callet (4529308)
Mathilde Dupont-Nivet (143686)
Marianne Cluzeaud (2179748)
Florence Jaffrezic (2220268)
Denis Laloë (133475)
Thierry Kerneis (4529311)
Laurent Labbé (143697)
Edwige Quillet (22709)
Inge Geurden (326970)
David Mazurais (748148)
Sandrine Skiba-Cassy (320252)
Françoise Médale (143707)

July 2018

<p>Correlation between gene expression patterns obtained through real-time PCR and microarray approa...

Correlation between miRNA expression (mean value) in PCa cores in TMA and paired needle biopsies.

Ahmed Hussein Zedan (4117144)
Søren Garm Blavnsfeldt (4117147)
Torben Frøstrup Hansen (813128)
Boye Schnack Nielsen (813126)
Niels Marcussen (497185)
Mindaugas Pleckaitis (4117150)
Palle Jörn Sloth Osther (4117153)
Flemming Brandt Sørensen (813129)

June 2017

<p>Correlation between miRNA expression (mean value) in PCa cores in TMA and paired needle biopsies....

Correlation of profiles of gene groups/clusters and individual gene pairs, sorted and drawn as a function of percentage of total number of group/gene pairs.

R. Gabdoulline (814866)
W. Kaisers (814867)
A. Gaspar (814868)
K. Meganathan (814869)
M. X. Doss (814870)
S. Jagtap (814871)
J. Hescheler (814872)
A. Sachinidis (814873)
H. Schwender (814874)

October 2015

<p>The bold line shows a correlation of expression profiles of the same gene in human vs in mouse. C...

Correlation of expression between different IMAGE clones from the same UniGene cluster

Gamberoni, Giacomo
Lamma, Evelina
Storari, Sergio
Arcelli, Diego
Francioso, Francesca
Volinia, Stefano

January 2004

Through the use of DNA microarray it is now possible to obtain quantitative measurements of the expr...

Comparisons between microarray and RNA-Seq data.

Marc W. Schmid (186294)
Anja Schmidt (186297)
Ulrich C. Klostermeier (186300)
Matthias Barann (186304)
Philip Rosenstiel (68103)
Ueli Grossniklaus (3152)

January 2012

<p>(A) The average number of hits (log2(x+1)) for each gene are plotted on the y-axis and the corres...

Cluster and correlation analysis.

Yukuo Li (6730028)
Wen Cui (3070767)
Ran Wang (169166)
Miaomiao Lin (5278496)
Yunpeng Zhong (509592)
Leiming Sun (5278484)
Xiujuan Qi (1721029)
Jinbao Fang (5278493)

May 2019

(A) Cluster analysis of gene expression in ‘HB’; (B) Correlation analysis between content of four an...

Pearson Correlation Scores for Individual Sample Groups Between NanoString and Microarray (p-value < 0.001).

Nadia P. Castro (407489)
Anand S. Merchant (513688)
Karen L. Saylor (3174105)
Miriam R. Anver (257535)
David S. Salomon (171908)
Yelena G. Golubeva (425354)

April 2016

<p>Pearson Correlation Scores for Individual Sample Groups Between NanoString and Microarray (p-valu...

Noninferiority tests based on concordance correlation coefficient for assessment of the agreement for gene expression data from microarray experiments

Liao, CT

[[abstract]]Microarray is one of the breakthrough technologies in the twenty-first century. Despite ...

Correlation between the mean co-expression measure in the human genome and the mean spatial proximity value of 30 intervals.

Stefanie Kaufmann (5661139)
Christiane Fuchs (737335)
Mariya Gonik (373354)
Ekaterina E. Khrameeva (173538)
Andrey A. Mironov (22472)
Dmitrij Frishman (3652)

May 2015

<p>This is high and statistically significant compared with randomized binned data (<i>p</i>-value <...

Comparison of differentially expressed genes in our RNA-seq and public dataset.

Mathieu Lajoie (3863344)
Simon Drouin (97528)
Maxime Caron (3465692)
Pascal St-Onge (3863350)
Manon Ouimet (3481763)
Romain Gioia (3863341)
Marie-Hélène Lafond (3863347)
Ramon Vidal (2619952)
Chantal Richer (221808)
Karim Oualkacha (698776)
Arnaud Droit (36418)
Daniel Sinnett (221809)

March 2017

<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...

K-means cluster analysis comparison of microarray and LC-FTICR expression ratio data.

Katrina M. Waters (175537)
Tao Liu (10785)
Ryan D. Quesenberry (175540)
Alan R. Willse (175543)
Somnath Bandyopadhyay (175547)
Loel E. Kathmann (175549)
Thomas J. Weber (175552)
Richard D. Smith (39311)
H. Steven Wiley (175554)
Brian D. Thrall (175555)

March 2012

<p>The left panel shows the overall results for 446 RNA/protein pairs expressed as the log<sub>10</s...

Correlation between differential gene expressions obtained through real-time PCR and microarray approaches.

Sophie Depiereux (518345)
Bertrand De Meulder (518342)
Eric Bareke (518344)
Fabrice Berger (518343)
Florence Le Gac (65558)
Eric Depiereux (518346)
Patrick Kestemont (600085)

July 2015

<p>Values were obtained from mean values of 6 replicates per conditions in the 4 conditions tested (...

Correlation of expression levels between microarray and nCounter in all 90 subjects.

Courtney Schiffman (5832764)
Cliona M. McHale (157569)
Alan E. Hubbard (71839)
Luoping Zhang (13194)
Reuben Thomas (77979)
Roel Vermeulen (68721)
Guilan Li (68727)
Min Shen (68726)
Stephen M. Rappaport (68730)
Songnian Yin (68728)
Qing Lan (43795)
Martyn T. Smith (68725)
Nathaniel Rothman (68724)

October 2018

Correlation of expression levels between microarray and nCounter in all 90 subjects.</p

Assessing agreement of clustering methods with gene expression microarray data

Liu, Xueli
Lee, Sheng-Chien
Casella, George
Peter, Gary F.

In the rapidly evolving field of genomics, many clustering and classification methods have been deve...

Distribution of correlations between microarray and sequencing profiles for miRNA and gene expression.

Ying-Wooi Wan (243650)
Claire M. Mach (516335)
Genevera I. Allen (479231)
Matthew L. Anderson (251963)
Zhandong Liu (516336)

January 2014

<p>(A) Histogram of correlation coefficients for individual miRNAs measured by miRNA-Seq and miRNA a...

Correlation between gene expression patterns obtained through real-time PCR and microarray approaches.

Thérèse Callet (4529308)
Mathilde Dupont-Nivet (143686)
Marianne Cluzeaud (2179748)
Florence Jaffrezic (2220268)
Denis Laloë (133475)
Thierry Kerneis (4529311)
Laurent Labbé (143697)
Edwige Quillet (22709)
Inge Geurden (326970)
David Mazurais (748148)
Sandrine Skiba-Cassy (320252)
Françoise Médale (143707)

July 2018

<p>Correlation between gene expression patterns obtained through real-time PCR and microarray approa...

Correlation between miRNA expression (mean value) in PCa cores in TMA and paired needle biopsies.

Ahmed Hussein Zedan (4117144)
Søren Garm Blavnsfeldt (4117147)
Torben Frøstrup Hansen (813128)
Boye Schnack Nielsen (813126)
Niels Marcussen (497185)
Mindaugas Pleckaitis (4117150)
Palle Jörn Sloth Osther (4117153)
Flemming Brandt Sørensen (813129)

June 2017

<p>Correlation between miRNA expression (mean value) in PCa cores in TMA and paired needle biopsies....

Correlation of profiles of gene groups/clusters and individual gene pairs, sorted and drawn as a function of percentage of total number of group/gene pairs.

R. Gabdoulline (814866)
W. Kaisers (814867)
A. Gaspar (814868)
K. Meganathan (814869)
M. X. Doss (814870)
S. Jagtap (814871)
J. Hescheler (814872)
A. Sachinidis (814873)
H. Schwender (814874)

October 2015

<p>The bold line shows a correlation of expression profiles of the same gene in human vs in mouse. C...

Correlation of expression between different IMAGE clones from the same UniGene cluster

Gamberoni, Giacomo
Lamma, Evelina
Storari, Sergio
Arcelli, Diego
Francioso, Francesca
Volinia, Stefano

January 2004

Through the use of DNA microarray it is now possible to obtain quantitative measurements of the expr...

Comparisons between microarray and RNA-Seq data.

Marc W. Schmid (186294)
Anja Schmidt (186297)
Ulrich C. Klostermeier (186300)
Matthias Barann (186304)
Philip Rosenstiel (68103)
Ueli Grossniklaus (3152)

January 2012

<p>(A) The average number of hits (log2(x+1)) for each gene are plotted on the y-axis and the corres...

Cluster and correlation analysis.

Yukuo Li (6730028)
Wen Cui (3070767)
Ran Wang (169166)
Miaomiao Lin (5278496)
Yunpeng Zhong (509592)
Leiming Sun (5278484)
Xiujuan Qi (1721029)
Jinbao Fang (5278493)

May 2019

(A) Cluster analysis of gene expression in ‘HB’; (B) Correlation analysis between content of four an...

Pearson Correlation Scores for Individual Sample Groups Between NanoString and Microarray (p-value < 0.001).

Nadia P. Castro (407489)
Anand S. Merchant (513688)
Karen L. Saylor (3174105)
Miriam R. Anver (257535)
David S. Salomon (171908)
Yelena G. Golubeva (425354)

April 2016

<p>Pearson Correlation Scores for Individual Sample Groups Between NanoString and Microarray (p-valu...

Noninferiority tests based on concordance correlation coefficient for assessment of the agreement for gene expression data from microarray experiments

Liao, CT

[[abstract]]Microarray is one of the breakthrough technologies in the twenty-first century. Despite ...

Correlation between the mean co-expression measure in the human genome and the mean spatial proximity value of 30 intervals.

Stefanie Kaufmann (5661139)
Christiane Fuchs (737335)
Mariya Gonik (373354)
Ekaterina E. Khrameeva (173538)
Andrey A. Mironov (22472)
Dmitrij Frishman (3652)

May 2015

<p>This is high and statistically significant compared with randomized binned data (<i>p</i>-value <...

Comparison of differentially expressed genes in our RNA-seq and public dataset.

Mathieu Lajoie (3863344)
Simon Drouin (97528)
Maxime Caron (3465692)
Pascal St-Onge (3863350)
Manon Ouimet (3481763)
Romain Gioia (3863341)
Marie-Hélène Lafond (3863347)
Ramon Vidal (2619952)
Chantal Richer (221808)
Karim Oualkacha (698776)
Arnaud Droit (36418)
Daniel Sinnett (221809)

March 2017

<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...

K-means cluster analysis comparison of microarray and LC-FTICR expression ratio data.

Katrina M. Waters (175537)
Tao Liu (10785)
Ryan D. Quesenberry (175540)
Alan R. Willse (175543)
Somnath Bandyopadhyay (175547)
Loel E. Kathmann (175549)
Thomas J. Weber (175552)
Richard D. Smith (39311)
H. Steven Wiley (175554)
Brian D. Thrall (175555)

March 2012

<p>The left panel shows the overall results for 446 RNA/protein pairs expressed as the log<sub>10</s...

Correlation between differential gene expressions obtained through real-time PCR and microarray approaches.

Sophie Depiereux (518345)
Bertrand De Meulder (518342)
Eric Bareke (518344)
Fabrice Berger (518343)
Florence Le Gac (65558)
Eric Depiereux (518346)
Patrick Kestemont (600085)

July 2015

<p>Values were obtained from mean values of 6 replicates per conditions in the 4 conditions tested (...