Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data

Dorina Bratfalean; Ramona Suharoschi; Crina Muresan; S. P. Agachi; M. V. Cristea; Ana Maria Cormos; Àlex Gómez Garridoc; Miguel Hernández Sánchez

doi:10.1016/S1570-7946(09)70172-5

Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data

Dorina Bratfalean, Ramona Suharoschi, Crina Muresan, S. P. Agachi, M. V. Cristea, Ana Maria Cormos, Àlex Gómez Garridoc, Miguel Hernández Sánchez

Chemical, Materials & Metallurgical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The objective of the present work is normalization of cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) treated with Genistein compared with untreated prostate cancer cells through pre-processing Two- Color Data. In this study, we utilized the high throughput gene chip, which contains 4486 known genes, to determine the alternation of gene expression profiles of PC3 prostate cancer cells exposed to Genistein at therapeutically and physiologically doses as well. The Limma was used to implement a range of normalization methods for spotted microarrays. Normalization was performed, for the experimental DNA microarray data, for three experimental groups, and the results show a very good accuracy.

Original language	English
Title of host publication	19th European Symposium on Computer Aided Process Engineering
Editors	Jacek Jezowski, Jan Thullie
Pages	1033-1038
Number of pages	6
DOIs	https://doi.org/10.1016/S1570-7946(09)70172-5
Publication status	Published - 2009

Publication series

Name	Computer Aided Chemical Engineering
Volume	26
ISSN (Print)	1570-7946

All Science Journal Classification (ASJC) codes

General Chemical Engineering
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S1570-7946(09)70172-5

Cite this

Bratfalean, D., Suharoschi, R., Muresan, C., Agachi, S. P., Cristea, M. V., Cormos, A. M., Gómez Garridoc, À., & Hernández Sánchez, M. (2009). Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data. In J. Jezowski, & J. Thullie (Eds.), 19th European Symposium on Computer Aided Process Engineering (pp. 1033-1038). (Computer Aided Chemical Engineering; Vol. 26). https://doi.org/10.1016/S1570-7946(09)70172-5

Bratfalean, Dorina ; Suharoschi, Ramona ; Muresan, Crina et al. / Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data. 19th European Symposium on Computer Aided Process Engineering. editor / Jacek Jezowski ; Jan Thullie. 2009. pp. 1033-1038 (Computer Aided Chemical Engineering).

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abstract = "The objective of the present work is normalization of cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) treated with Genistein compared with untreated prostate cancer cells through pre-processing Two- Color Data. In this study, we utilized the high throughput gene chip, which contains 4486 known genes, to determine the alternation of gene expression profiles of PC3 prostate cancer cells exposed to Genistein at therapeutically and physiologically doses as well. The Limma was used to implement a range of normalization methods for spotted microarrays. Normalization was performed, for the experimental DNA microarray data, for three experimental groups, and the results show a very good accuracy.",

author = "Dorina Bratfalean and Ramona Suharoschi and Crina Muresan and Agachi, {S. P.} and Cristea, {M. V.} and Cormos, {Ana Maria} and {G{\'o}mez Garridoc}, {\`A}lex and {Hern{\'a}ndez S{\'a}nchez}, Miguel",

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Bratfalean, D, Suharoschi, R, Muresan, C, Agachi, SP, Cristea, MV, Cormos, AM, Gómez Garridoc, À & Hernández Sánchez, M 2009, Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data. in J Jezowski & J Thullie (eds), 19th European Symposium on Computer Aided Process Engineering. Computer Aided Chemical Engineering, vol. 26, pp. 1033-1038. https://doi.org/10.1016/S1570-7946(09)70172-5

Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data. / Bratfalean, Dorina; Suharoschi, Ramona; Muresan, Crina et al.
19th European Symposium on Computer Aided Process Engineering. ed. / Jacek Jezowski; Jan Thullie. 2009. p. 1033-1038 (Computer Aided Chemical Engineering; Vol. 26).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AU - Bratfalean, Dorina

AU - Suharoschi, Ramona

AU - Muresan, Crina

AU - Agachi, S. P.

AU - Cristea, M. V.

AU - Cormos, Ana Maria

AU - Gómez Garridoc, Àlex

AU - Hernández Sánchez, Miguel

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AB - The objective of the present work is normalization of cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) treated with Genistein compared with untreated prostate cancer cells through pre-processing Two- Color Data. In this study, we utilized the high throughput gene chip, which contains 4486 known genes, to determine the alternation of gene expression profiles of PC3 prostate cancer cells exposed to Genistein at therapeutically and physiologically doses as well. The Limma was used to implement a range of normalization methods for spotted microarrays. Normalization was performed, for the experimental DNA microarray data, for three experimental groups, and the results show a very good accuracy.

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Bratfalean D, Suharoschi R, Muresan C, Agachi SP, Cristea MV, Cormos AM et al. Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data. In Jezowski J, Thullie J, editors, 19th European Symposium on Computer Aided Process Engineering. 2009. p. 1033-1038. (Computer Aided Chemical Engineering). doi: 10.1016/S1570-7946(09)70172-5

Normalization for cDNA microarray data of gene expression profiles from the human prostate cancer cell lines (PC3) by Pre-Processing Two-Color Data

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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