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Patrik Rydén

Showing results (1-10 of 46) with videos related to

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Journal of Clinical Microbiology|December 5, 2014
Flow cytometry analysis using sysmex UF-1000i classifies uropathogens based on bacterial, leukocyte, and erythrocyte counts in urine specimens among patients with urinary tract infectionsTor Monsen, Patrik Rydén
International Journal of Medical Informatics|January 30, 2025
Optimal placement of ambulance stations using data-driven direct and surrogate search methodsHassan Bozorgmanesh, Patrik Rydén
Plos One|December 6, 2019
Cluster analysis on high dimensional RNA-seq data with applications to cancer research - An evaluation studyLinda Vidman, David Källberg, Patrik Rydén
Frontiers in Genetics|March 15, 2021
Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer SubtypesDavid Källberg, Linda Vidman, Patrik Rydén
Global Health Action|January 7, 2010
Effects of climate change on tularaemia disease activity in SwedenPatrik Rydén, Anders Sjöstedt, Anders Johansson
Statistical Applications in Genetics and Molecular Biology|October 6, 2009
MC-normalization: a novel method for dye-normalization of two-channel microarray dataMattias Landfors, Jessica Fahlén, Patrik Rydén
Molecular Microbiology|January 22, 2013
Cycles of light and dark co-ordinate reversible colony differentiation in Listeria monocytogenesTeresa Tiensuu, Christopher Andersson, Patrik Rydén, et al.
Plos One|August 3, 2023
Transcriptional signatures measured in whole blood correlate with protection against tuberculosis in inbred and outbred miceSherry L Kurtz, Patrik Rydén, Karen L Elkins
Frontiers in Cellular and Infection Microbiology|February 23, 2018
Vaccine-Mediated Mechanisms Controlling Replication of <i>Francisella tularensis</i> in Human Peripheral Blood Mononuclear Cells Using a Co-culture SystemKjell Eneslätt, Igor Golovliov, Patrik Rydén, et al.
Plos One|December 2, 2011
Normalization of high dimensional genomics data where the distribution of the altered variables is skewedMattias Landfors, Philge Philip, Patrik Rydén, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Journal of Clinical Microbiology|December 5, 2014
Flow cytometry analysis using sysmex UF-1000i classifies uropathogens based on bacterial, leukocyte, and erythrocyte counts in urine specimens among patients with urinary tract infectionsTor Monsen, Patrik Rydén
International Journal of Medical Informatics|January 30, 2025
Optimal placement of ambulance stations using data-driven direct and surrogate search methodsHassan Bozorgmanesh, Patrik Rydén
Plos One|December 6, 2019
Cluster analysis on high dimensional RNA-seq data with applications to cancer research - An evaluation studyLinda Vidman, David Källberg, Patrik Rydén
Frontiers in Genetics|March 15, 2021
Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer SubtypesDavid Källberg, Linda Vidman, Patrik Rydén
Global Health Action|January 7, 2010
Effects of climate change on tularaemia disease activity in SwedenPatrik Rydén, Anders Sjöstedt, Anders Johansson
Statistical Applications in Genetics and Molecular Biology|October 6, 2009
MC-normalization: a novel method for dye-normalization of two-channel microarray dataMattias Landfors, Jessica Fahlén, Patrik Rydén
Molecular Microbiology|January 22, 2013
Cycles of light and dark co-ordinate reversible colony differentiation in Listeria monocytogenesTeresa Tiensuu, Christopher Andersson, Patrik Rydén, et al.
Plos One|August 3, 2023
Transcriptional signatures measured in whole blood correlate with protection against tuberculosis in inbred and outbred miceSherry L Kurtz, Patrik Rydén, Karen L Elkins
Frontiers in Cellular and Infection Microbiology|February 23, 2018
Vaccine-Mediated Mechanisms Controlling Replication of <i>Francisella tularensis</i> in Human Peripheral Blood Mononuclear Cells Using a Co-culture SystemKjell Eneslätt, Igor Golovliov, Patrik Rydén, et al.
Plos One|December 2, 2011
Normalization of high dimensional genomics data where the distribution of the altered variables is skewedMattias Landfors, Philge Philip, Patrik Rydén, et al.
Pageof 5