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Lukas M Weber

Showing results (1-10 of 28) with videos related to

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F1000Research|December 21, 2019
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formatsLukas M Weber, Charlotte Soneson
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 20, 2016
Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry dataLukas M Weber, Mark D Robinson
Journal of Veterinary Dentistry|March 23, 2017
A Retrospective Study of the Effectiveness of Four Different Treatments of Periodontal Disease in Equine Cheek TeethKirsten Jackson, Lukas M Weber, Marc Tennant
Communications Biology|May 18, 2019
diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clusteringLukas M Weber, Malgorzata Nowicka, Charlotte Soneson, et al.
Nature Communications|July 10, 2023
nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processesLukas M Weber, Arkajyoti Saha, Abhirup Datta, et al.
Frontiers in Genetics|October 4, 2014
Statistical methods for detecting differentially methylated loci and regionsMark D Robinson, Abdullah Kahraman, Charity W Law, et al.
Nature Immunology|September 7, 2021
An updated guide for the perplexed: cytometry in the high-dimensional eraThomas Liechti, Lukas M Weber, Thomas M Ashhurst, et al.
European Journal of Epidemiology|January 12, 2026
Integration of latent factor analysis into multivariable Mendelian randomizationYuankai Zhang, Roby Joehanes, Tianxiao Huan, et al.
European Journal of Epidemiology|May 28, 2026
Multivariate mendelian randomization for joint inferences of correlated outcomesYuankai Zhang, Mengyao Wang, Roby Joehanes, et al.
F1000Research|November 30, 2017
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasetsMalgorzata Nowicka, Carsten Krieg, Lukas M Weber, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
F1000Research|December 21, 2019
HDCytoData: Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formatsLukas M Weber, Charlotte Soneson
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|December 20, 2016
Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry dataLukas M Weber, Mark D Robinson
Journal of Veterinary Dentistry|March 23, 2017
A Retrospective Study of the Effectiveness of Four Different Treatments of Periodontal Disease in Equine Cheek TeethKirsten Jackson, Lukas M Weber, Marc Tennant
Communications Biology|May 18, 2019
diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clusteringLukas M Weber, Malgorzata Nowicka, Charlotte Soneson, et al.
Nature Communications|July 10, 2023
nnSVG for the scalable identification of spatially variable genes using nearest-neighbor Gaussian processesLukas M Weber, Arkajyoti Saha, Abhirup Datta, et al.
Frontiers in Genetics|October 4, 2014
Statistical methods for detecting differentially methylated loci and regionsMark D Robinson, Abdullah Kahraman, Charity W Law, et al.
Nature Immunology|September 7, 2021
An updated guide for the perplexed: cytometry in the high-dimensional eraThomas Liechti, Lukas M Weber, Thomas M Ashhurst, et al.
European Journal of Epidemiology|January 12, 2026
Integration of latent factor analysis into multivariable Mendelian randomizationYuankai Zhang, Roby Joehanes, Tianxiao Huan, et al.
European Journal of Epidemiology|May 28, 2026
Multivariate mendelian randomization for joint inferences of correlated outcomesYuankai Zhang, Mengyao Wang, Roby Joehanes, et al.
F1000Research|November 30, 2017
CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasetsMalgorzata Nowicka, Carsten Krieg, Lukas M Weber, et al.
Pageof 3