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V Anne Smith

Showing results (11-20 of 30) with videos related to

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Physical Review. E|July 17, 2021
Two-pathogen model with competition on clustered networksPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|February 19, 2021
Random graphs with arbitrary clustering and their applicationsPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|May 20, 2022
Degree correlations in graphs with clique clusteringPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|August 17, 2022
N-strain epidemic model using bond percolationPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|September 16, 2021
Symbiotic and antagonistic disease dynamics on networks using bond percolationPeter Mann, V Anne Smith, John B O Mitchell, et al.
Scientific Reports|October 28, 2015
Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosisWim Verleyen, Simon P Langdon, Dana Faratian, et al.
Physical Review. E|September 16, 2021
Exact formula for bond percolation on cliquesPeter Mann, V Anne Smith, John B O Mitchell, et al.
Scientific Reports|June 9, 2015
Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model systemAntonis Koussounadis, Simon P Langdon, In Hwa Um, et al.
Bioinformatics (Oxford, England)|July 31, 2004
Advances to Bayesian network inference for generating causal networks from observational biological dataJing Yu, V Anne Smith, Paul P Wang, et al.
Plos Computational Biology|November 24, 2006
Computational inference of neural information flow networksV Anne Smith, Jing Yu, Tom V Smulders, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Physical Review. E|July 17, 2021
Two-pathogen model with competition on clustered networksPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|February 19, 2021
Random graphs with arbitrary clustering and their applicationsPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|May 20, 2022
Degree correlations in graphs with clique clusteringPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|August 17, 2022
N-strain epidemic model using bond percolationPeter Mann, V Anne Smith, John B O Mitchell, et al.
Physical Review. E|September 16, 2021
Symbiotic and antagonistic disease dynamics on networks using bond percolationPeter Mann, V Anne Smith, John B O Mitchell, et al.
Scientific Reports|October 28, 2015
Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosisWim Verleyen, Simon P Langdon, Dana Faratian, et al.
Physical Review. E|September 16, 2021
Exact formula for bond percolation on cliquesPeter Mann, V Anne Smith, John B O Mitchell, et al.
Scientific Reports|June 9, 2015
Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model systemAntonis Koussounadis, Simon P Langdon, In Hwa Um, et al.
Bioinformatics (Oxford, England)|July 31, 2004
Advances to Bayesian network inference for generating causal networks from observational biological dataJing Yu, V Anne Smith, Paul P Wang, et al.
Plos Computational Biology|November 24, 2006
Computational inference of neural information flow networksV Anne Smith, Jing Yu, Tom V Smulders, et al.
Pageof 3