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Laxman Yetukuri

Showing results (1-10 of 32) with videos related to

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BMC Bioinformatics|March 17, 2007
Normalization method for metabolomics data using optimal selection of multiple internal standardsMarko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, et al.
Molecular Biosystems|January 24, 2008
Informatics and computational strategies for the study of lipidsLaxman Yetukuri, Kim Ekroos, Antonio Vidal-Puig, et al.
Frontiers in Bioscience (Elite Edition)|January 2, 2013
T-cell activation induces selective changes of cellular lipidomeTapio Lonnberg, Laxman Yetukuri, Tuulikki Seppanen-Laakso, et al.
Experimental Eye Research|July 14, 2009
Gut microbiota affects lens and retinal lipid compositionMatej Oresic, Tuulikki Seppänen-Laakso, Laxman Yetukuri, et al.
Journal of Chemical Information and Modeling|September 1, 2023
Machine Learning-Boosted Docking Enables the Efficient Structure-Based Virtual Screening of Giga-Scale Enumerated Chemical LibrariesToni Sivula, Laxman Yetukuri, Tuomo Kalliokoski, et al.
Bioinformatics (Oxford, England)|June 18, 2005
Data integration and visualization system for enabling conceptual biologyPeddinti V Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, et al.
BMC Systems Biology|April 6, 2007
Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosisLaxman Yetukuri, Mikko Katajamaa, Gema Medina-Gomez, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 29, 2009
Bioinformatics strategies for the analysis of lipidsCraig E Wheelock, Susumu Goto, Laxman Yetukuri, et al.
Metabolism: Clinical and Experimental|September 25, 2017
Lipidome as a predictive tool in progression to type 2 diabetes in Finnish menTommi Suvitaival, Isabel Bondia-Pons, Laxman Yetukuri, et al.
Oncotarget|June 1, 2017
Rapalogs can promote cancer cell stemness in vitro in a Galectin-1 and H-ras-dependent mannerItziar M D Posada, Benoit Lectez, Mukund Sharma, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|March 17, 2007
Normalization method for metabolomics data using optimal selection of multiple internal standardsMarko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, et al.
Molecular Biosystems|January 24, 2008
Informatics and computational strategies for the study of lipidsLaxman Yetukuri, Kim Ekroos, Antonio Vidal-Puig, et al.
Frontiers in Bioscience (Elite Edition)|January 2, 2013
T-cell activation induces selective changes of cellular lipidomeTapio Lonnberg, Laxman Yetukuri, Tuulikki Seppanen-Laakso, et al.
Experimental Eye Research|July 14, 2009
Gut microbiota affects lens and retinal lipid compositionMatej Oresic, Tuulikki Seppänen-Laakso, Laxman Yetukuri, et al.
Journal of Chemical Information and Modeling|September 1, 2023
Machine Learning-Boosted Docking Enables the Efficient Structure-Based Virtual Screening of Giga-Scale Enumerated Chemical LibrariesToni Sivula, Laxman Yetukuri, Tuomo Kalliokoski, et al.
Bioinformatics (Oxford, England)|June 18, 2005
Data integration and visualization system for enabling conceptual biologyPeddinti V Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, et al.
BMC Systems Biology|April 6, 2007
Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosisLaxman Yetukuri, Mikko Katajamaa, Gema Medina-Gomez, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 29, 2009
Bioinformatics strategies for the analysis of lipidsCraig E Wheelock, Susumu Goto, Laxman Yetukuri, et al.
Metabolism: Clinical and Experimental|September 25, 2017
Lipidome as a predictive tool in progression to type 2 diabetes in Finnish menTommi Suvitaival, Isabel Bondia-Pons, Laxman Yetukuri, et al.
Oncotarget|June 1, 2017
Rapalogs can promote cancer cell stemness in vitro in a Galectin-1 and H-ras-dependent mannerItziar M D Posada, Benoit Lectez, Mukund Sharma, et al.
Pageof 4