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Leonardo Bottolo

Showing results (1-10 of 51) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|December 10, 2016
Expression QTLs Mapping and Analysis: A Bayesian PerspectiveMartha Imprialou, Enrico Petretto, Leonardo Bottolo
Methods in Molecular Biology (Clifton, N.J.)|May 3, 2022
Accurate Measurement of DNA Methylation: Challenges and Bias CorrectionEguzkine Ochoa, Verena Zuber, Leonardo Bottolo
Thorax|May 30, 2020
Sphingolipid, fatty acid and phospholipid metabolites are associated with disease severity and mTOR inhibition in lymphangioleiomyomatosisLeonardo Bottolo, Suzanne Miller, Simon R Johnson
International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society|April 5, 2017
Particle MCMC algorithms and architectures for accelerating inference in state-space modelsGrigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis
Bioinformatics (Oxford, England)|March 18, 2015
WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis toolsOwen J L Rackham, Petros Dellaportas, Enrico Petretto, et al.
Science (New York, N.Y.)|October 15, 2005
A fine-scale map of recombination rates and hotspots across the human genomeSimon Myers, Leonardo Bottolo, Colin Freeman, et al.
American Journal of Human Genetics|April 3, 2025
Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomesVerena Zuber, Toinét Cronjé, Na Cai, et al.
Journal of Statistical Software|March 24, 2018
R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate ResponsesBenoît Liquet, Leonardo Bottolo, Gianluca Campanella, et al.
Plos Genetics|January 7, 2014
Multi-tissue analysis of co-expression networks by higher-order generalized singular value decomposition identifies functionally coherent transcriptional modulesXiaolin Xiao, Aida Moreno-Moral, Maxime Rotival, et al.
Diabetologia|October 7, 2017
The chromosome 6q22.33 region is associated with age at diagnosis of type 1 diabetes and disease risk in those diagnosed under 5 years of ageJamie R J Inshaw, Neil M Walker, Chris Wallace, et al.
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Methods in Molecular Biology (Clifton, N.J.)|December 10, 2016
Expression QTLs Mapping and Analysis: A Bayesian PerspectiveMartha Imprialou, Enrico Petretto, Leonardo Bottolo
Methods in Molecular Biology (Clifton, N.J.)|May 3, 2022
Accurate Measurement of DNA Methylation: Challenges and Bias CorrectionEguzkine Ochoa, Verena Zuber, Leonardo Bottolo
Thorax|May 30, 2020
Sphingolipid, fatty acid and phospholipid metabolites are associated with disease severity and mTOR inhibition in lymphangioleiomyomatosisLeonardo Bottolo, Suzanne Miller, Simon R Johnson
International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society|April 5, 2017
Particle MCMC algorithms and architectures for accelerating inference in state-space modelsGrigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis
Bioinformatics (Oxford, England)|March 18, 2015
WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis toolsOwen J L Rackham, Petros Dellaportas, Enrico Petretto, et al.
Science (New York, N.Y.)|October 15, 2005
A fine-scale map of recombination rates and hotspots across the human genomeSimon Myers, Leonardo Bottolo, Colin Freeman, et al.
American Journal of Human Genetics|April 3, 2025
Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomesVerena Zuber, Toinét Cronjé, Na Cai, et al.
Journal of Statistical Software|March 24, 2018
R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate ResponsesBenoît Liquet, Leonardo Bottolo, Gianluca Campanella, et al.
Plos Genetics|January 7, 2014
Multi-tissue analysis of co-expression networks by higher-order generalized singular value decomposition identifies functionally coherent transcriptional modulesXiaolin Xiao, Aida Moreno-Moral, Maxime Rotival, et al.
Diabetologia|October 7, 2017
The chromosome 6q22.33 region is associated with age at diagnosis of type 1 diabetes and disease risk in those diagnosed under 5 years of ageJamie R J Inshaw, Neil M Walker, Chris Wallace, et al.
Pageof 6