@article {18652888,
	title = {Direct functional assessment of the composite phenotype through multivariate projection strategies},
	journal = {Genomics},
	volume = {92},
	number = {6},
	year = {2008},
	note = {<p>Conesa, Ana Bro, Rasmus Garcia-Garcia, Francisco Prats, Jose Manuel Gotz, Stefan Kjeldahl, Karin Montaner, David Dopazo, Joaquin Evaluation Studies Research Support, Non-U.S. Gov{\textquoteright}t United States Genomics Genomics. 2008 Dec;92(6):373-83. Epub 2008 Sep 13.</p>},
	pages = {373-83},
	abstract = {<p>We present a novel approach for the analysis of transcriptomics data that integrates functional annotation of gene sets with expression values in a multivariate fashion, and directly assesses the relation of functional features to a multivariate space of response phenotypical variables. Multivariate projection methods are used to obtain new correlated variables for a set of genes that share a given function. These new functional variables are then related to the response variables of interest. The analysis of the principal directions of the multivariate regression allows for the identification of gene function features correlated with the phenotype. Two different transcriptomics studies are used to illustrate the statistical and interpretative aspects of the methodology. We demonstrate the superiority of the proposed method over equivalent approaches.</p>},
	keywords = {Breast Neoplasms/genetics Computational Biology/*methods Databases, Genetic Female Gene Expression Profiling/*statistics \& numerical data Humans Mathematical Computing Multivariate Analysis Phenotype},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=18652888},
	author = {A. Conesa and Bro, R. and Garcia-Garcia, F. and Prats, J. M. and Gotz, S. and Kjeldahl, K. and Montaner, D. and Dopazo, J.}
}
@article {17519250,
	title = {Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA},
	journal = {Bioinformatics},
	volume = {23},
	number = {14},
	year = {2007},
	note = {Nueda, Maria Jose Conesa, Ana Westerhuis, Johan A Hoefsloot, Huub C J Smilde, Age K Talon, Manuel Ferrer, Alberto Research Support, Non-U.S. Gov{\textquoteright}t England Bioinformatics (Oxford, England) Bioinformatics. 2007 Jul 15;23(14):1792-800. Epub 2007 May 22.},
	pages = {1792-800},
	abstract = {MOTIVATION: Designed microarray experiments are used to investigate the effects that controlled experimental factors have on gene expression and learn about the transcriptional responses associated with external variables. In these datasets, signals of interest coexist with varying sources of unwanted noise in a framework of (co)relation among the measured variables and with the different levels of the studied factors. Discovering experimentally relevant transcriptional changes require methodologies that take all these elements into account. RESULTS: In this work, we develop the application of the Analysis of variance-simultaneous component analysis (ANOVA-SCA) Smilde et al. Bioinformatics, (2005) to the analysis of multiple series time course microarray data as an example of multifactorial gene expression profiling experiments. We denoted this implementation as ASCA-genes. We show how the combination of ANOVA-modeling and a dimension reduction technique is effective in extracting targeted signals from data by-passing structural noise. The methodology is valuable for identifying main and secondary responses associated with the experimental factors and spotting relevant experimental conditions. We additionally propose a novel approach for gene selection in the context of the relation of individual transcriptional patterns to global gene expression signals. We demonstrate the methodology on both real and synthetic datasets. AVAILABILITY: ASCA-genes has been implemented in the statistical language R and is available at http://www.ivia.es/centrodegenomica/bioinformatics.htm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.},
	keywords = {Algorithms *Analysis of Variance Computational Biology/*methods Computer Simulation Data Interpretation, Genetic, Genetic Models, Statistical Gene Expression Profiling/*methods Models, Statistical Oligonucleotide Array Sequence Analysis/*methods Principal Component Analysis Time Factors Transcription},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=17519250},
	author = {Nueda, M. J. and A. Conesa and Westerhuis, J. A. and Hoefsloot, H. C. and Smilde, A. K. and Talon, M. and Ferrer, A.}
}
@article {17120584,
	title = {Development of the GENIPOL European flounder (Platichthys flesus) microarray and determination of temporal transcriptional responses to cadmium at low dose},
	journal = {Environ Sci Technol},
	volume = {40},
	number = {20},
	year = {2006},
	note = {Williams, Tim D Diab, Amer M George, Stephen G Godfrey, Rita E Sabine, Victoria Conesa, Ana Minchin, Steven D Watts, Phil C Chipman, James K Research Support, Non-U.S. Gov{\textquoteright}t United States Environmental science \& technology Environ Sci Technol. 2006 Oct 15;40(20):6479-88.},
	pages = {6479-88},
	abstract = {We have constructed a high density, 13 270-clone cDNA array for the sentinel fish species European flounder (Platichthys flesus), combining clones from suppressive subtractive hybridization and a liver cDNA library; DNA sequences of 5211 clones were determined. Fish were treated by single intraperitoneal injection with 50 micrograms cadmium chloride per kilogram body weight, a dose relevant to environmental exposures, and hepatic gene expression changes were determined at 1, 2, 4, 8, and 16 days postinjection in comparison to saline-treated controls. Gene expression responses were confirmed by real-time reverse transcription polymerase chain reaction (RT-PCR). Blast2GO gene ontology analysis highlighted a general induction of the unfolded protein response, response to oxidative stress, protein synthesis, transport, and degradation pathways, while apoptosis, cell cycle, cytoskeleton, and cytokine genes were also affected. Transcript levels of cytochrome P450 1A (CYP1A) were repressed and vitellogenin altered, real-time PCR showed induction of metallothionein. We thus describe the establishment of a useful resource for ecotoxicogenomics and the determination of the temporal molecular responses to cadmium, a prototypical heavy metal pollutant.},
	keywords = {Animals Cadmium Chloride/administration \& dosage/*pharmacology Dose-Response Relationship, Developmental/drug effects Liver/drug effects/growth \& development/metabolism Oligonucleotide Array Sequence Analysis/*methods Reverse Transcriptase Polymerase Chain Reaction Transcription, Drug Environmental Monitoring/methods Flounder/*genetics/growth \& development Gene Expression Profiling Gene Expression Regulation, Genetic/*drug effects},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=17120584},
	author = {Williams, T. D. and Diab, A. M. and George, S. G. and Godfrey, R. E. and Sabine, V. and A. Conesa and Minchin, S. D. and Watts, P. C. and Chipman, J. K.}
}
@article {15830128,
	title = {Development of a citrus genome-wide EST collection and cDNA microarray as resources for genomic studies},
	journal = {Plant Mol Biol},
	volume = {57},
	number = {3},
	year = {2005},
	note = {Forment, J Gadea, J Huerta, L Abizanda, L Agusti, J Alamar, S Alos, E Andres, F Arribas, R Beltran, J P Berbel, A Blazquez, M A Brumos, J Canas, L A Cercos, M Colmenero-Flores, J M Conesa, A Estables, B Gandia, M Garcia-Martinez, J L Gimeno, J Gisbert, A Gomez, G Gonzalez-Candelas, L Granell, A Guerri, J Lafuente, M T Madueno, F Marcos, J F Marques, M C Martinez, F Martinez-Godoy, M A Miralles, S Moreno, P Navarro, L Pallas, V Perez-Amador, M A Perez-Valle, J Pons, C Rodrigo, I Rodriguez, P L Royo, C Serrano, R Soler, G Tadeo, F Talon, M Terol, J Trenor, M Vaello, L Vicente, O Vidal, Ch Zacarias, L Conejero, V Comparative Study Research Support, U.S. Gov{\textquoteright}t, Non-P.H.S. Netherlands Plant molecular biology Plant Mol Biol. 2005 Feb;57(3):375-91.},
	pages = {375-91},
	abstract = {A functional genomics project has been initiated to approach the molecular characterization of the main biological and agronomical traits of citrus. As a key part of this project, a citrus EST collection has been generated from 25 cDNA libraries covering different tissues, developmental stages and stress conditions. The collection includes a total of 22,635 high-quality ESTs, grouped in 11,836 putative unigenes, which represent at least one third of the estimated number of genes in the citrus genome. Functional annotation of unigenes which have Arabidopsis orthologues (68\% of all unigenes) revealed gene representation in every major functional category, suggesting that a genome-wide EST collection was obtained. A Citrus clementina Hort. ex Tan. cv. Clemenules genomic library, that will contribute to further characterization of relevant genes, has also been constructed. To initiate the analysis of citrus transcriptome, we have developed a cDNA microarray containing 12,672 probes corresponding to 6875 putative unigenes of the collection. Technical characterization of the microarray showed high intra- and inter-array reproducibility, as well as a good range of sensitivity. We have also validated gene expression data achieved with this microarray through an independent technique such as RNA gel blot analysis.},
	keywords = {Citrus/*genetics DNA, Complementary/chemistry/genetics *Expressed Sequence Tags Gene Expression Profiling Gene Library *Genome, DNA, Plant Genomics/*methods Molecular Sequence Data Oligonucleotide Array Sequence Analysis/*methods RNA, Plant/genetics/metabolism Reproducibility of Results Sequence Analysis},
	url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve\&db=PubMed\&dopt=Citation\&list_uids=15830128},
	author = {J. Forment and J. Gadea and Huerta, L. and Abizanda, L. and Agusti, J. and Alamar, S. and Alos, E. and Andres, F. and Arribas, R. and Beltran, J. P. and Berbel, A. and Blazquez, M. A. and Brumos, J. and Canas, L. A. and Cercos, M. and Colmenero-Flores, J. M. and A. Conesa and Estables, B. and Gandia, M. and Garcia-Martinez, J. L. and Gimeno, J. and Gisbert, A. and Gomez, G. and Gonzalez-Candelas, L. and Granell, A. and Guerri, J. and Lafuente, M. T. and Madueno, F. and Marcos, J. F. and Marques, M. C. and Martinez, F. and Martinez-Godoy, M. A. and Miralles, S. and Moreno, P. and Navarro, L. and Pallas, V. and Perez-Amador, M. A. and Perez-Valle, J. and Pons, C. and Rodrigo, I. and Rodriguez, P. L. and Royo, C. and Serrano, R. and Soler, G. and Tadeo, F. and Talon, M. and Terol, J. and Trenor, M. and Vaello, L. and Vicente, O. and Vidal, Ch and Zacarias, L. and Conejero, V.}
}
