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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
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April 16, 2014
Statistical validation of high-dimensional models of growing networks
Matúš Medo
Physical Review. E
|
October 15, 2016
Model-based evaluation of scientific impact indicators
Matúš Medo, Giulio Cimini
Plos Computational Biology
|
May 5, 2025
Replicability of bulk RNA-Seq differential expression and enrichment analysis results for small cohort sizes
Peter Methys Degen, Matúš Medo
Physical Review. E
|
March 15, 2020
Time-invariant degree growth in preferential attachment network models
Jun Sun, Matúš Medo, Steffen Staab
Physical Review Letters
|
December 21, 2011
Temporal effects in the growth of networks
Matúš Medo, Giulio Cimini, Stanislao Gualdi
BMC Bioinformatics
|
November 11, 2019
ProtRank: bypassing the imputation of missing values in differential expression analysis of proteomic data
Matúš Medo, Daniel M Aebersold, Michaela Medová
Entropy (Basel, Switzerland)
|
December 3, 2020
Link Prediction in Bipartite Nested Networks
Matúš Medo, Manuel Sebastian Mariani, Linyuan Lü
Journal of Computational Social Science
|
May 23, 2022
The simple regularities in the dynamics of online news impact
Matúš Medo, Manuel S Mariani, Linyuan Lü
Nature Communications
|
November 2, 2024
A comprehensive comparison of tools for fitting mutational signatures
Matúš Medo, Charlotte K Y Ng, Michaela Medová
Scientific Reports
|
November 11, 2015
Ranking nodes in growing networks: When PageRank fails
Manuel Sebastian Mariani, Matúš Medo, Yi-Cheng Zhang
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Search research articles
Search
Showing results (1-10 of 28) with videos related to
Sort By:
Page
of 3
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
April 16, 2014
Statistical validation of high-dimensional models of growing networks
Matúš Medo
Physical Review. E
|
October 15, 2016
Model-based evaluation of scientific impact indicators
Matúš Medo, Giulio Cimini
Plos Computational Biology
|
May 5, 2025
Replicability of bulk RNA-Seq differential expression and enrichment analysis results for small cohort sizes
Peter Methys Degen, Matúš Medo
Physical Review. E
|
March 15, 2020
Time-invariant degree growth in preferential attachment network models
Jun Sun, Matúš Medo, Steffen Staab
Physical Review Letters
|
December 21, 2011
Temporal effects in the growth of networks
Matúš Medo, Giulio Cimini, Stanislao Gualdi
BMC Bioinformatics
|
November 11, 2019
ProtRank: bypassing the imputation of missing values in differential expression analysis of proteomic data
Matúš Medo, Daniel M Aebersold, Michaela Medová
Entropy (Basel, Switzerland)
|
December 3, 2020
Link Prediction in Bipartite Nested Networks
Matúš Medo, Manuel Sebastian Mariani, Linyuan Lü
Journal of Computational Social Science
|
May 23, 2022
The simple regularities in the dynamics of online news impact
Matúš Medo, Manuel S Mariani, Linyuan Lü
Nature Communications
|
November 2, 2024
A comprehensive comparison of tools for fitting mutational signatures
Matúš Medo, Charlotte K Y Ng, Michaela Medová
Scientific Reports
|
November 11, 2015
Ranking nodes in growing networks: When PageRank fails
Manuel Sebastian Mariani, Matúš Medo, Yi-Cheng Zhang
Page
of 3