Marco Grzegorczyk

About Marco Grzegorczyk

Marco Grzegorczyk, With an exceptional h-index of 19 and a recent h-index of 14 (since 2020), a distinguished researcher at Rijksuniversiteit Groningen,

His recent articles reflect a diverse array of research interests and contributions to the field:

Bayesian multivariate control charts for multivariate profiles monitoring

Being Bayesian about Learning Bayesian Networks from Ordinal Data

Learning the structure of the mTOR protein signaling pathway from protein phosphorylation data

Factors associated with SARS-COV-2 positive test in Lifelines

Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis

Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model

A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies

Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors

Marco Grzegorczyk Information

University

Position

___

Citations(all)

3429

Citations(since 2020)

1336

Cited By

2699

hIndex(all)

19

hIndex(since 2020)

14

i10Index(all)

27

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Top articles of Marco Grzegorczyk

Bayesian multivariate control charts for multivariate profiles monitoring

Quality Technology & Quantitative Management

2024/5/3

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

Being Bayesian about Learning Bayesian Networks from Ordinal Data

International Journal of Approximate Reasoning

2024/4/29

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

Learning the structure of the mTOR protein signaling pathway from protein phosphorylation data

Journal of Applied Statistics

2024/4/3

Abdul Salam
Abdul Salam

H-Index: 1

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

Factors associated with SARS-COV-2 positive test in Lifelines

Plos one

2023/11/29

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

Scalable inference of cell differentiation networks in gene therapy clonal tracking studies of haematopoiesis

Bioinformatics

2023/10/1

Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model

Journal of Applied Statistics

2023/7/27

A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies

BMC bioinformatics

2023/6/2

Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors

Computational Statistics

2023/6

Abdul Salam
Abdul Salam

H-Index: 1

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

GeneNetTools: tests for Gaussian graphical models with shrinkage

Bioinformatics

2022/11/15

Victor Bernal
Victor Bernal

H-Index: 2

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

Stochastic modelling of cell differentiation networks from partially-observed clonal tracking data

bioRxiv

2022/7/10

Stochastic inference of clonal dominance in gene therapy studies

bioRxiv

2022/5/31

Normalization of clonal diversity in gene therapy studies using shape constrained splines

Scientific Reports

2022/3/9

Uncertainty propagation in shrinkage-based Gaussian graphical models

Improved reconstruction of molecular networks with Gaussian graphical models

2022

The ‘un-shrunk’partial correlation in Gaussian graphical models

BMC bioinformatics

2021/12

Mahalanobis distance, a novel statistical proxy of homeostasis loss is longitudinally associated with risk of type 2 diabetes

EBioMedicine

2021/9/1

A new Bayesian piecewise linear regression model for dynamic network reconstruction

BMC bioinformatics

2021/4

Marco Grzegorczyk
Marco Grzegorczyk

H-Index: 13

On the Bayesian network based data mining framework for the choice of appropriate time scale for regional analysis of drought Hazard

Theoretical and Applied Climatology

2021/2

Measuring and restructuring the risk in forecasting drought classes: an application of weighted Markov chain based model for standardised precipitation evapotranspiration index …

Tellus A: Dynamic Meteorology and Oceanography

2020/1/1

Bayesian network based procedure for regional drought monitoring: the seasonally combinative regional drought indicator

Journal of Environmental Management

2020/12/15

On the more generalized non‐parametric framework for the propagation of uncertainty in drought monitoring

Meteorological Applications

2020/5

See List of Professors in Marco Grzegorczyk University(Rijksuniversiteit Groningen)