Marek Omelka
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Marek Omelka has a total of 156 co-authors. Here are the top co-authors by number of shared publications:
- Irène Gijbels
Department of Mathematics, KU Leuven, 3001 Leuven, Belgium
17 shared publications - Marketa Sagova-Mareckova
Epidemiology and Ecology of Microorganisms, Crop Research Institute, Prague, Czech Republic
17 shared publications - Jan Kopecký
Crop Research Institute
10 shared publications Noël Veraverbeke
10 shared publicationsJan Kopecky
5 shared publicationsYvan Moënne-Loccoz
Univ Lyon, Université Claude Bernard Lyon 1, CNRS, INRA, VetAgro Sup, UMR5557 Ecologie Microbienne, F-69622, Villeurbanne, France
4 shared publications
Latest Publications
- Open Access
- 1 October 2025
- Published by AME Publishing Company in Translational Lung Cancer Research
- Vol. 14 (10) , 4560-4570
Identification of a novel RSPO1-NUMT insertion in a LUAD patient cohort and the challenges and insights into NUMT detection highlighting the importance of reference genomes and population databases
Nuclear mitochondrial DNA sequences (NUMTs) represent mitochondrial DNA fragments integrated into the nuclear genome with potential clinical significance particularly in the pathology of cancer which have be identified in recent whole-genome sequencing (WGS) studies. Combining NUMT in silico analysis on WGS from The Cancer Genome Atlas with further characterize with molecular-genomic experiments (PCR assay and sequencing) across lung adenocarcinoma (LUAD) patient cohort tumor samples and incorporating important clinical parameters. Our molecular analysis of 298 LUAD samples revealed a RSPO1 gene NUMT insertion in approximately 31% of cases (29% heterozygous, 2% homozygous). This RSPO1-NUMT insertion’s presence was observed across matched blood, healthy lung, and tumor samples confirming its germline origin. Notably, homozygous carriers exhibited significantly earlier disease onset (mean age: 54 vs. 63.3 years; P=0.04) and a trend toward advanced-stage disease at diagnosis compared to no NUMT-insertion or heterozygous individuals. We report a novel NUMT insertion of the RSPO1 gene, which is a key regulator in the oncogenic WNT signaling pathway. Our findings also highlight technical challenges in NUMT detection across genome builds and databases, with significant discrepancies observed between reference genomes and population frequency estimates. We propose that this homozygous RSPO1-NUMT insertion may represent a previously unrecognized predisposing factor for LUAD development and progression through modulation of RSPO1 expression and subsequent WNT pathway activation, potentially influencing tumor vascularization, drug response, and disease progression.
- 1 October 2025
- Published by AME Publishing Company in Translational Lung Cancer Research
- Vol. 14 (10) , 4560-4570
Open AccessIdentification of a novel RSPO1-NUMT insertion in a LUAD patient cohort and the challenges and insights into NUMT detection highlighting the importance of reference genomes and population databases
Nuclear mitochondrial DNA sequences (NUMTs) represent mitochondrial DNA fragments integrated into the nuclear genome with potential clinical significance particularly in the pathology of cancer which have be identified in recent whole-genome sequencing (WGS) studies. Combining NUMT in silico analysis on WGS from The Cancer Genome Atlas with further characterize with molecular-genomic experiments (PCR assay and sequencing) across lung adenocarcinoma (LUAD) patient cohort tumor samples and incorporating important clinical parameters. Our molecular analysis of 298 LUAD samples revealed a RSPO1 gene NUMT insertion in approximately 31% of cases (29% heterozygous, 2% homozygous). This RSPO1-NUMT insertion’s presence was observed across matched blood, healthy lung, and tumor samples confirming its germline origin. Notably, homozygous carriers exhibited significantly earlier disease onset (mean age: 54 vs. 63.3 years; P=0.04) and a trend toward advanced-stage disease at diagnosis compared to no NUMT-insertion or heterozygous individuals. We report a novel NUMT insertion of the RSPO1 gene, which is a key regulator in the oncogenic WNT signaling pathway. Our findings also highlight technical challenges in NUMT detection across genome builds and databases, with significant discrepancies observed between reference genomes and population frequency estimates. We propose that this homozygous RSPO1-NUMT insertion may represent a previously unrecognized predisposing factor for LUAD development and progression through modulation of RSPO1 expression and subsequent WNT pathway activation, potentially influencing tumor vascularization, drug response, and disease progression.
- 1 May 2025
- Published by Bernoulli Society for Mathematical Statistics and Probability in Bernoulli
- Vol. 31 (2) , 1451-1474
Generalized Hadamard differentiability of the copula mapping and its applications
We consider the copula mapping, which maps a joint cumulative distribution function to the corresponding copula. Its Hadamard differentiability was shown in van der Vaart and Wellner (1996), Fermanian, Radulović and Wegkamp (2004) and (under less strict assumptions) in Bücher and Volgushev (2013). This differentiability result has proved to be a powerful tool to show the weak convergence of empirical copula processes in various settings using the functional delta method. We state a generalization of the Hadamard differentiability results and illustrate how it can be used for the derivations of asymptotic expansions and the weak convergence of empirical copula processes in the presence of covariates. The usefulness of this result is illustrated on several applications which include a multidimensional functional linear model, where the copula of the error vector describes the dependency between the components of the vector of observations, given the functional covariate.
- 1 May 2025
- Published by Bernoulli Society for Mathematical Statistics and Probability in Bernoulli
- Vol. 31 (2) , 1451-1474
Generalized Hadamard differentiability of the copula mapping and its applications
We consider the copula mapping, which maps a joint cumulative distribution function to the corresponding copula. Its Hadamard differentiability was shown in van der Vaart and Wellner (1996), Fermanian, Radulović and Wegkamp (2004) and (under less strict assumptions) in Bücher and Volgushev (2013). This differentiability result has proved to be a powerful tool to show the weak convergence of empirical copula processes in various settings using the functional delta method. We state a generalization of the Hadamard differentiability results and illustrate how it can be used for the derivations of asymptotic expansions and the weak convergence of empirical copula processes in the presence of covariates. The usefulness of this result is illustrated on several applications which include a multidimensional functional linear model, where the copula of the error vector describes the dependency between the components of the vector of observations, given the functional covariate.
- 23 June 2022
- Published by Elsevier in Journal of Environmental Management
- Vol. 318, 115534
Multi-level stratification of territories for waste composition analysis
- 23 June 2022
- Published by Elsevier in Journal of Environmental Management
- Vol. 318, 115534
Multi-level stratification of territories for waste composition analysis
- 21 April 2022
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 221, 136-153
Choice of smoothing parameter in multivariate copula-based tail coefficients
- 21 April 2022
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 221, 136-153
Choice of smoothing parameter in multivariate copula-based tail coefficients
- Open Access
- 1 November 2021
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 186, 104804
Omnibus test for covariate effects in conditional copula models
- 1 November 2021
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 186, 104804
Open AccessOmnibus test for covariate effects in conditional copula models
- 1 March 2021
- Published by Elsevier in European Journal of Soil Biology
- Vol. 103
Litter chemical quality and bacterial community structure influenced decomposition in acidic forest soil
- 1 March 2021
- Published by Elsevier in European Journal of Soil Biology
- Vol. 103
Litter chemical quality and bacterial community structure influenced decomposition in acidic forest soil
- 1 March 2021
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 182
On the specification of multivariate association measures and their behaviour with increasing dimension
- 1 March 2021
- Published by Elsevier in Journal of Multivariate Analysis
- Vol. 182
On the specification of multivariate association measures and their behaviour with increasing dimension
- 7 November 2020
- Published by Wiley in Scandinavian Journal of Statistics
- Vol. 48 (4) , 1433-1473
Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models
- 7 November 2020
- Published by Wiley in Scandinavian Journal of Statistics
- Vol. 48 (4) , 1433-1473
Maximum pseudo‐likelihood estimation based on estimated residuals in copula semiparametric models
- Open Access
Multivariate Tail Coefficients: Properties and Estimation
Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector. Although bivariate tail coefficients are well-studied, this is, to a lesser extent, the case for multivariate tail coefficients. This paper contributes to this research area by (i) providing a thorough study of properties of existing multivariate tail coefficients in the light of a set of desirable properties; (ii) proposing some new multivariate tail measurements; (iii) dealing with estimation of the discussed coefficients and establishing asymptotic consistency; and, (iv) studying the behavior of tail measurements with increasing dimension of the random vector. A set of illustrative examples is given, and practical use of the tail measurements is demonstrated in a data analysis with a focus on dependencies between stocks that are part of the EURO STOXX 50 market index.
Open AccessMultivariate Tail Coefficients: Properties and Estimation
Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector. Although bivariate tail coefficients are well-studied, this is, to a lesser extent, the case for multivariate tail coefficients. This paper contributes to this research area by (i) providing a thorough study of properties of existing multivariate tail coefficients in the light of a set of desirable properties; (ii) proposing some new multivariate tail measurements; (iii) dealing with estimation of the discussed coefficients and establishing asymptotic consistency; and, (iv) studying the behavior of tail measurements with increasing dimension of the random vector. A set of illustrative examples is given, and practical use of the tail measurements is demonstrated in a data analysis with a focus on dependencies between stocks that are part of the EURO STOXX 50 market index.
- 1 December 2019
- Published by American Society for Microbiology in Applied and Environmental Microbiology
- Vol. 85 (24)
Succession of Microbial Decomposers Is Determined by Litter Type, but Site Conditions Drive Decomposition Rates
Anthropogenic disturbance may cause shifts in vegetation and alter the litter input. We studied the decomposition of different litter types under soil conditions of a nutrient-rich grassland and nutrient-poor forest to identify factors responsible for changes in the community structure and succession of microbial decomposers. This will help to predict the consequences of induced changes on the abundance and activity of microbial decomposers and recognize if the decomposition process and resulting quality and quantity of soil organic matter will be affected at various sites.
- 1 December 2019
- Published by American Society for Microbiology in Applied and Environmental Microbiology
- Vol. 85 (24)
Succession of Microbial Decomposers Is Determined by Litter Type, but Site Conditions Drive Decomposition Rates
Anthropogenic disturbance may cause shifts in vegetation and alter the litter input. We studied the decomposition of different litter types under soil conditions of a nutrient-rich grassland and nutrient-poor forest to identify factors responsible for changes in the community structure and succession of microbial decomposers. This will help to predict the consequences of induced changes on the abundance and activity of microbial decomposers and recognize if the decomposition process and resulting quality and quantity of soil organic matter will be affected at various sites.