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Independent component analysis to remove batch effects from merged microarray datasets
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Document type | Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection |
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Access type | Accès restreint |
Publication date | 2016 |
Language | Anglais |
Conference | "WABI 2016", Aarhus, Denmark, August 22-24, 2016 |
Journal information | "Lecture Notes in Computer Science" - Vol. 9838, p. 281-292 (2016) |
Peer reviewed | yes |
issn | 0302-9743 |
e-issn | 1611-3349 |
Publisher | Springer ((Germany) Heidelberg) |
Publication status | Publié |
Affiliations |
UCL
- SST/ICTM/INMA - Pôle en ingénierie mathématique UCL - SST/ICTM/INGI - Pôle en ingénierie informatique |
Links |
- Alter O., Brown P. O., Botstein D., Singular value decomposition for genome-wide expression data processing and modeling, 10.1073/pnas.97.18.10101
- Chen Chao, Grennan Kay, Badner Judith, Zhang Dandan, Gershon Elliot, Jin Li, Liu Chunyu, Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods, 10.1371/journal.pone.0017238
- Cardoso Jean-François, High-Order Contrasts for Independent Component Analysis, 10.1162/089976699300016863
- Desmedt C., Piette F., Loi S., Wang Y., Lallemand F., Haibe-Kains B., Viale G., Delorenzi M., Zhang Y., d'Assignies M. S., Bergh J., Lidereau R., Ellis P., Harris A. L., Klijn J. G.M., Foekens J. A., Cardoso F., Piccart M. J., Buyse M., Sotiriou C., , Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series, 10.1158/1078-0432.ccr-06-2765
- Johnson W. E., Li C., Rabinovic A., Adjusting batch effects in microarray expression data using empirical Bayes methods, 10.1093/biostatistics/kxj037
- Lazar C., Meganck S., Taminau J., Steenhoff D., Coletta A., Molter C., Weiss-Solis D. Y., Duque R., Bersini H., Nowe A., Batch effect removal methods for microarray gene expression data integration: a survey, 10.1093/bib/bbs037
- Leek Jeffrey T., Scharpf Robert B., Bravo Héctor Corrada, Simcha David, Langmead Benjamin, Johnson W. Evan, Geman Donald, Baggerly Keith, Irizarry Rafael A., Tackling the widespread and critical impact of batch effects in high-throughput data, 10.1038/nrg2825
- Leek Jeffrey T., Storey John D., Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis, 10.1371/journal.pgen.0030161
- Loi Sherene, Haibe-Kains Benjamin, Desmedt Christine, Lallemand Françoise, Tutt Andrew M., Gillet Cheryl, Ellis Paul, Harris Adrian, Bergh Jonas, Foekens John A., Klijn Jan G.M., Larsimont Denis, Buyse Marc, Bontempi Gianluca, Delorenzi Mauro, Piccart Martine J., Sotiriou Christos, Definition of Clinically Distinct Molecular Subtypes in Estrogen Receptor–Positive Breast Carcinomas Through Genomic Grade, 10.1200/jco.2006.07.1522
- Miller L. D., Smeds J., George J., Vega V. B., Vergara L., Ploner A., Pawitan Y., Hall P., Klaar S., Liu E. T., Bergh J., From The Cover: An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival, 10.1073/pnas.0506230102
- Minn A. J., Gupta G. P., Padua D., Bos P., Nguyen D. X., Nuyten D., Kreike B., Zhang Y., Wang Y., Ishwaran H., Foekens J. A., van de Vijver M., Massague J., Lung metastasis genes couple breast tumor size and metastatic spread, 10.1073/pnas.0701138104
- Renard, E., Teschendorff, A.E., Absil, P.-A.: Capturing confounding sources of variation in DNA methylation data by spatiotemporal independent component analysis. In: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2014)
- Sabatier Renaud, Finetti Pascal, Cervera Nathalie, Lambaudie Eric, Esterni Benjamin, Mamessier Emilie, Tallet Agnès, Chabannon Christian, Extra Jean-Marc, Jacquemier Jocelyne, Viens Patrice, Birnbaum Daniel, Bertucci François, A gene expression signature identifies two prognostic subgroups of basal breast cancer, 10.1007/s10549-010-0897-9
- Sainlez, M., Absil, P.-A., Teschendorff, A.E.: Gene expression data analysis using spatiotemporal blind source separation. In: 17nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2009)
- Sotiriou Christos, Wirapati Pratyaksha, Loi Sherene, Harris Adrian, Fox Steve, Smeds Johanna, Nordgren Hans, Farmer Pierre, Praz Viviane, Haibe-Kains Benjamin, Desmedt Christine, Larsimont Denis, Cardoso Fatima, Peterse Hans, Nuyten Dimitry, Buyse Marc, Van de Vijver Marc J., Bergh Jonas, Piccart Martine, Delorenzi Mauro, Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis, 10.1093/jnci/djj052
- Stone J.V, Porrill J, Porter N.R, Wilkinson I.D, Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions, 10.1006/nimg.2001.0986
- Teschendorff Andrew E., Zhuang Joanna, Widschwendter Martin, Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies, 10.1093/bioinformatics/btr171
- WANG Y, KLIJN J, ZHANG Y, SIEUWERTS A, LOOK M, YANG F, TALANTOV D, TIMMERMANS M, MEIJERVANGELDER M, YU J, Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer, 10.1016/s0140-6736(05)70933-8
Bibliographic reference | Renard, Emilie ; Branders, Samuel ; Absil, Pierre-Antoine. Independent component analysis to remove batch effects from merged microarray datasets.WABI 2016 (Aarhus, Denmark, August 22-24, 2016). In: Lecture Notes in Computer Science, Vol. 9838, p. 281-292 (2016) |
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Permanent URL | http://hdl.handle.net/2078.1/174709 |