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George Michailidis

Showing results (41-50 of 99) with videos related to

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BMC Bioinformatics|December 19, 2024
DNEA: an R package for fast and versatile data-driven network analysis of metabolomics dataChristopher Patsalis, Gayatri Iyer, Marci Brandenburg, et al.
The Annals of Applied Statistics|May 17, 2016
ESTIMATING HETEROGENEOUS GRAPHICAL MODELS FOR DISCRETE DATA WITH AN APPLICATION TO ROLL CALL VOTINGJian Guo, Jie Cheng, Elizaveta Levina, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|April 17, 2015
Principal Component Analysis With Sparse Fused LoadingsJian Guo, Gareth James, Elizaveta Levina, et al.
Scientific Reports|February 5, 2021
County-level longitudinal clustering of COVID-19 mortality to incidence ratio in the United StatesNasim Vahabi, Masoud Salehi, Julio D Duarte, et al.
BMC Bioinformatics|April 28, 2012
THINK Back: KNowledge-based Interpretation of High Throughput dataFernando Farfán, Jun Ma, Maureen A Sartor, et al.
Diabetes|July 25, 2019
Impaired Amino Acid and TCA Metabolism and Cardiovascular Autonomic Neuropathy Progression in Type 1 DiabetesAnna V Mathew, Mamta Jaiswal, Lynn Ang, et al.
Bioinformatics (Oxford, England)|February 1, 2017
Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics dataSumanta Basu, William Duren, Charles R Evans, et al.
Journal of Translational Science|November 26, 2020
Plasma lipidomic profiling identifies a novel complex lipid signature associated with ischemic stroke in chronic kidney diseaseFarsad Afshinnia, Adil Jadoon, Thekkelnaycke M Rajendiran, et al.
Bioinformatics (Oxford, England)|October 24, 2019
Deep annotation of untargeted LC-MS metabolomics data with BinnerMaureen Kachman, Hani Habra, William Duren, et al.
Frontiers in Genetics|August 19, 2021
Cox-sMBPLS: An Algorithm for Disease Survival Prediction and Multi-Omics Module Discovery Incorporating <i>Cis</i>-Regulatory Quantitative EffectsNasim Vahabi, Caitrin W McDonough, Ankit A Desai, et al.
Pageof 10

Showing results (41-50 of 99) with videos related to

Sort By:
Pageof 10
BMC Bioinformatics|December 19, 2024
DNEA: an R package for fast and versatile data-driven network analysis of metabolomics dataChristopher Patsalis, Gayatri Iyer, Marci Brandenburg, et al.
The Annals of Applied Statistics|May 17, 2016
ESTIMATING HETEROGENEOUS GRAPHICAL MODELS FOR DISCRETE DATA WITH AN APPLICATION TO ROLL CALL VOTINGJian Guo, Jie Cheng, Elizaveta Levina, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|April 17, 2015
Principal Component Analysis With Sparse Fused LoadingsJian Guo, Gareth James, Elizaveta Levina, et al.
Scientific Reports|February 5, 2021
County-level longitudinal clustering of COVID-19 mortality to incidence ratio in the United StatesNasim Vahabi, Masoud Salehi, Julio D Duarte, et al.
BMC Bioinformatics|April 28, 2012
THINK Back: KNowledge-based Interpretation of High Throughput dataFernando Farfán, Jun Ma, Maureen A Sartor, et al.
Diabetes|July 25, 2019
Impaired Amino Acid and TCA Metabolism and Cardiovascular Autonomic Neuropathy Progression in Type 1 DiabetesAnna V Mathew, Mamta Jaiswal, Lynn Ang, et al.
Bioinformatics (Oxford, England)|February 1, 2017
Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics dataSumanta Basu, William Duren, Charles R Evans, et al.
Journal of Translational Science|November 26, 2020
Plasma lipidomic profiling identifies a novel complex lipid signature associated with ischemic stroke in chronic kidney diseaseFarsad Afshinnia, Adil Jadoon, Thekkelnaycke M Rajendiran, et al.
Bioinformatics (Oxford, England)|October 24, 2019
Deep annotation of untargeted LC-MS metabolomics data with BinnerMaureen Kachman, Hani Habra, William Duren, et al.
Frontiers in Genetics|August 19, 2021
Cox-sMBPLS: An Algorithm for Disease Survival Prediction and Multi-Omics Module Discovery Incorporating <i>Cis</i>-Regulatory Quantitative EffectsNasim Vahabi, Caitrin W McDonough, Ankit A Desai, et al.
Pageof 10