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Gábor Csárdi

Showing results (1-10 of 9) with videos related to

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Bioinformatics (Oxford, England)|April 8, 2010
Modular analysis of gene expression data with RGábor Csárdi, Zoltán Kutalik, Sven Bergmann
Journal of the American Statistical Association|May 9, 2015
Estimating a structured covariance matrix from multi-lab measurements in high-throughput biologyAlexander M Franks, Gábor Csárdi, D Allan Drummond, et al.
Plos Genetics|May 8, 2015
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeastGábor Csárdi, Alexander Franks, David S Choi, et al.
Bioinformatics (Oxford, England)|July 31, 2010
ExpressionView--an interactive viewer for modules identified in gene expression dataAndreas Lüscher, Gábor Csárdi, Aitana Morton de Lachapelle, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 3, 2004
Properties of a random attachment growing networkLászló Zalányi, Gábor Csárdi, Tamás Kiss, et al.
Plos Computational Biology|February 10, 2011
Using transcription modules to identify expression clusters perturbed in Williams-Beuren syndromeCharlotte N Henrichsen, Gábor Csárdi, Marie-Thérèse Zabot, et al.
Glia|February 17, 2012
Aging of myelinating glial cells predominantly affects lipid metabolism and immune response pathwaysValérie Verdier, Gábor Csárdi, Anne-Sophie de Preux-Charles, et al.
Nature|October 21, 2011
The evolution of gene expression levels in mammalian organsDavid Brawand, Magali Soumillon, Anamaria Necsulea, et al.
Database : the Journal of Biological Databases and Curation|October 14, 2010
EuroDia: a beta-cell gene expression resourceRobin Liechti, Gábor Csárdi, Sven Bergmann, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|April 8, 2010
Modular analysis of gene expression data with RGábor Csárdi, Zoltán Kutalik, Sven Bergmann
Journal of the American Statistical Association|May 9, 2015
Estimating a structured covariance matrix from multi-lab measurements in high-throughput biologyAlexander M Franks, Gábor Csárdi, D Allan Drummond, et al.
Plos Genetics|May 8, 2015
Accounting for experimental noise reveals that mRNA levels, amplified by post-transcriptional processes, largely determine steady-state protein levels in yeastGábor Csárdi, Alexander Franks, David S Choi, et al.
Bioinformatics (Oxford, England)|July 31, 2010
ExpressionView--an interactive viewer for modules identified in gene expression dataAndreas Lüscher, Gábor Csárdi, Aitana Morton de Lachapelle, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 3, 2004
Properties of a random attachment growing networkLászló Zalányi, Gábor Csárdi, Tamás Kiss, et al.
Plos Computational Biology|February 10, 2011
Using transcription modules to identify expression clusters perturbed in Williams-Beuren syndromeCharlotte N Henrichsen, Gábor Csárdi, Marie-Thérèse Zabot, et al.
Glia|February 17, 2012
Aging of myelinating glial cells predominantly affects lipid metabolism and immune response pathwaysValérie Verdier, Gábor Csárdi, Anne-Sophie de Preux-Charles, et al.
Nature|October 21, 2011
The evolution of gene expression levels in mammalian organsDavid Brawand, Magali Soumillon, Anamaria Necsulea, et al.
Database : the Journal of Biological Databases and Curation|October 14, 2010
EuroDia: a beta-cell gene expression resourceRobin Liechti, Gábor Csárdi, Sven Bergmann, et al.
Pageof 1