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Principal Component Analysis (PCA) based on the first two eigenvectors obtained by PCA.

Publication date

February 2012

DOI

10.1371/journal.pgen.1002532.g004

Abstract

<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p

Extracted data

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Principal component analysis.

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Lakshmikanth Tadepally (679135)
Marco Matteucci (451782)
Carlo Liberale (679136)
Maria Mesuraca (673988)
Domenica Scumaci (679137)
Francesco Gentile (500655)
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Gerardo Perozziello (679138)
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PCA score plot with the two first principal component vectors t(1) and t(2).

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Nele Van Den Noortgate (426512)
Koen Venken (518363)
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January 2014

<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...

Principal Component Analysis (PCA).

Mauricio Vergara (547026)
Julio Berrios (547028)
Irene Martínez (454324)
Alvaro Díaz-Barrera (622150)
Cristian Acevedo (836492)
Juan G. Reyes (836493)
Ramon Gonzalez (445221)
Claudia Altamirano (277428)

December 2015

<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...

Principal component analysis (PCA) scores.

Meritxell Arenas (4621663)
Elisabet Rodríguez (5983187)
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Salvador Fernández-Arroyo (4621645)
Sebastià Sabater (4621642)
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Marina Gascón (4621651)
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Noemí Cabré (4621648)
Fedra Luciano-Mateo (4621666)
Anna Hernández-Aguilera (4621660)
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<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...

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Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...

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Results of principal component analysis showing the distribution of cancers and normal controls.

Wei-Yi Hsu (499917)
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Wokil Bam (5089127)
Linda M. Hooper-Bui (5089124)
Rachel M. Strecker (5089133)
Puspa L. Adhikari (5089130)
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April 2018

<p>Principal Component Analysis (PCA); a) Community structure analysis and (b) Component score for e...

Principal component analysis (PCA) indicative of the variability of the gene expression data within each of the two patient groups.

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October 2014

<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...

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<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...

Principal component analysis (PCA) scores.

Meritxell Arenas (4621663)
Elisabet Rodríguez (5983187)
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Sebastià Sabater (4621642)
Rogelio Robaina (5983190)
Marina Gascón (4621651)
Maria Rodríguez-Pla (5983193)
Noemí Cabré (4621648)
Fedra Luciano-Mateo (4621666)
Anna Hernández-Aguilera (4621660)
Isabel Fort-Gallifa (4621654)
Jordi Camps (179587)
Jorge Joven (179582)

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Plots of serum samples from control women (green) and breast cancer patients pre- (red) and post-rad...

Principal component analysis.

Rosanna La Rocca (679131)
Rossana Tallerico (679132)
Almosawy Talib Hassan (679133)
Gobind Das (679134)
Lakshmikanth Tadepally (679135)
Marco Matteucci (451782)
Carlo Liberale (679136)
Maria Mesuraca (673988)
Domenica Scumaci (679137)
Francesco Gentile (500655)
Gheorghe Cojoc (663454)
Gerardo Perozziello (679138)
Antonio Ammendolia (679139)
Adriana Gallo (679140)
Klas Kärre (240523)
Giovanni Cuda (77911)
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Enzo Di Fabrizio (679142)
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December 2014

<p>PCA analysis on control and stress cells for various cell lines; Mel 42a, Mel 59c, Mel 103b and 2...

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Anton De Spiegeleer (518360)
Evelien Wynendaele (443950)
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Maxime Boucart (518362)
Nele Van Den Noortgate (426512)
Koen Venken (518363)
Serge Van Calenbergh (125212)
Sandrine Aspeslagh (162609)
Dirk Elewaut (68008)

January 2014

<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...

Principal Component Analysis (PCA).

Mauricio Vergara (547026)
Julio Berrios (547028)
Irene Martínez (454324)
Alvaro Díaz-Barrera (622150)
Cristian Acevedo (836492)
Juan G. Reyes (836493)
Ramon Gonzalez (445221)
Claudia Altamirano (277428)

December 2015

<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...

Principal component analysis (PCA) scores.

Meritxell Arenas (4621663)
Elisabet Rodríguez (5983187)
Anabel García-Heredia (179545)
Salvador Fernández-Arroyo (4621645)
Sebastià Sabater (4621642)
Rogelio Robaina (5983190)
Marina Gascón (4621651)
Maria Rodríguez-Pla (5983193)
Noemí Cabré (4621648)
Fedra Luciano-Mateo (4621666)
Anna Hernández-Aguilera (4621660)
Isabel Fort-Gallifa (4621654)
Jordi Camps (179587)
Jorge Joven (179582)

November 2018

Plot of serum samples from breast cancer patients who had received hormone therapy (A), chemotherapy...

Principal component analyses (PCA) of the discovery and validation datasets.

Rose K. Lai (525649)
Yanwen Chen (460790)
Xiaowei Guan (525650)
Darryl Nousome (525651)
Charu Sharma (339391)
Peter Canoll (220255)
Jeffrey Bruce (525652)
Andrew E. Sloan (170000)
Etty Cortes (292035)
Jean-Paul Vonsattel (525653)
Tao Su (409037)
Lissette Delgado-Cruzata (525654)
Irina Gurvich (308589)
Regina M. Santella (18345)
Quinn Ostrom (525655)
Annette Lee (39079)
Peter Gregersen (204152)
Jill Barnholtz-Sloan (125096)

February 2014

<p>a. In the discovery dataset, the 5 tumor and 1 control methylation classes were represented by th...

A principal component analysis of patients, disease and treatment variables: a new prognostic tool in breast cancer after mastectomy

Adam, Buciński
Jerzy, Załuski
Jerzy, Krysiński
Roman, Kaliszan

November 2000

PurposeTo demonstrate unique information potential of a powerful multivariate data processing method...

Principal components analysis

Syms, C.

January 2008

Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...

A principal component analysis of patients, disease and treatment variables: a new prognostic tool in breast cancer after mastectomy

Adam, Buciński
Jerzy, Załuski
Jerzy, Krysiński
Roman, Kaliszan

November 2000

AbstractPurposeTo demonstrate unique information potential of a powerful multivariate data processin...

173 An Overview of Principal Component Analysis

Sasan Karamizadeh
Shahidan M. Abdullah
Azizah A. Manaf
Mazdak Zamani
Alireza Hooman

January 2013

The principal component analysis (PCA) is a kind of algorithms in biometrics. It is a statistics tec...

Results of principal component analysis showing the distribution of cancers and normal controls.

Wei-Yi Hsu (499917)
Chao-Jung Chen (499918)
Yu-Chuen Huang (308321)
Fuu-Jen Tsai (230856)
Long-Bin Jeng (499919)
Chien-Chen Lai (499920)

December 2013

<p>(A) All cancer; (B) Breast cancer, (C) Lung cancer; (D) Gastric cancer and (E) Colon cancer. Blac...

Principal Component Analysis (PCA); a) Community structure analysis and (b) Component score for each individual family/order for the treatment sites and year.

Wokil Bam (5089127)
Linda M. Hooper-Bui (5089124)
Rachel M. Strecker (5089133)
Puspa L. Adhikari (5089130)
Edward B. Overton (2017540)

April 2018

<p>Principal Component Analysis (PCA); a) Community structure analysis and (b) Component score for e...

Principal component analysis (PCA) indicative of the variability of the gene expression data within each of the two patient groups.

Kanisha Shah (5920697)
Shanaya Patel (5920700)
Sheefa Mirza (5920703)
Rakesh M. Rawal (489012)

November 2018

The x, y, and z axes are the first, second, and third components that together capture most of the v...

Principal component analysis (PCA) of the panel screening results.

Sigrid Hatse (12560)
Barbara Brouwers (647613)
Bruna Dalmasso (647614)
Annouschka Laenen (647615)
Cindy Kenis (647616)
Patrick Schöffski (125074)
Hans Wildiers (146595)

October 2014

<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...

Principal component analysis (PCA) based on all (41,345) probesets in the array to cluster samples based on their similarities or dissimilarities in global gene expression level.

Xiugong Gao (633083)
Jeffrey J. Yourick (633084)
Robert L. Sprando (633085)

September 2014

<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...

Principal component analysis (PCA) scores.

Meritxell Arenas (4621663)
Elisabet Rodríguez (5983187)
Anabel García-Heredia (179545)
Salvador Fernández-Arroyo (4621645)
Sebastià Sabater (4621642)
Rogelio Robaina (5983190)
Marina Gascón (4621651)
Maria Rodríguez-Pla (5983193)
Noemí Cabré (4621648)
Fedra Luciano-Mateo (4621666)
Anna Hernández-Aguilera (4621660)
Isabel Fort-Gallifa (4621654)
Jordi Camps (179587)
Jorge Joven (179582)

November 2018

Plots of serum samples from control women (green) and breast cancer patients pre- (red) and post-rad...

Principal component analysis.

Rosanna La Rocca (679131)
Rossana Tallerico (679132)
Almosawy Talib Hassan (679133)
Gobind Das (679134)
Lakshmikanth Tadepally (679135)
Marco Matteucci (451782)
Carlo Liberale (679136)
Maria Mesuraca (673988)
Domenica Scumaci (679137)
Francesco Gentile (500655)
Gheorghe Cojoc (663454)
Gerardo Perozziello (679138)
Antonio Ammendolia (679139)
Adriana Gallo (679140)
Klas Kärre (240523)
Giovanni Cuda (77911)
Patrizio Candeloro (679141)
Enzo Di Fabrizio (679142)
Ennio Carbone (679143)

December 2014

<p>PCA analysis on control and stress cells for various cell lines; Mel 42a, Mel 59c, Mel 103b and 2...

PCA score plot with the two first principal component vectors t(1) and t(2).

Anton De Spiegeleer (518360)
Evelien Wynendaele (443950)
Matthias Vandekerckhove (518361)
Sofie Stalmans (443949)
Maxime Boucart (518362)
Nele Van Den Noortgate (426512)
Koen Venken (518363)
Serge Van Calenbergh (125212)
Sandrine Aspeslagh (162609)
Dirk Elewaut (68008)

January 2014

<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...

Principal Component Analysis (PCA).

Mauricio Vergara (547026)
Julio Berrios (547028)
Irene Martínez (454324)
Alvaro Díaz-Barrera (622150)
Cristian Acevedo (836492)
Juan G. Reyes (836493)
Ramon Gonzalez (445221)
Claudia Altamirano (277428)

December 2015

<p>A, B and C: Hyperplane between the first and second principal components (PC1 and PC2, respective...