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Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Nature communications, 2021-02, Vol.12 (1), p.765-13, Article 765

2021

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Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis

Nature communications, 2018-11, Vol.9 (1), p.5034-11, Article 5034

2018

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Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

Data mining and knowledge discovery, 2015-03, Vol.29 (2), p.503-533

2015

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DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation

PloS one, 2023-04, Vol.18 (4), p.e0284443-e0284443

2023

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High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood

Statistics and computing, 2021-11, Vol.31 (6), Article 73

2021

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A logical approach to context-specific independence

Annals of pure and applied logic, 2019-09, Vol.170 (9), p.975-992

2019

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Author Correction: Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Nature communications, 2021-03, Vol.12 (1), p.1934-1934, Article 1934

2021

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High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study

Computational statistics & data analysis, 2020-01, Vol.141, p.62-76

2020

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A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation

Sexual abuse, 2019-06, Vol.31 (4), p.374-396

2019

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The Genetics of Sexuality and Aggression (GSA) Twin Samples in Finland

Twin research and human genetics, 2013-02, Vol.16 (1), p.150-156

2013

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SuperDCA for genome-wide epistasis analysis

Microbial genomics, 2018-06, Vol.4 (6)

2018

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Locally interpretable tree boosting: An application to house price prediction

Decision Support Systems, 2024-03, Vol.178, p.114106, Article 114106

2024

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Locally interpretable tree boosting: An application to house price prediction

2023

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Representing local structure in Bayesian networks by Boolean functions

Pattern recognition letters, 2017-08, Vol.95, p.73-77

2017

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The role of local partial independence in learning of Bayesian networks

International journal of approximate reasoning, 2016-02, Vol.69, p.91-105

2016

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House price prediction with gradient boosted trees under different loss functions

Journal of property research, 2022-10, Vol.39 (4), p.338-364

2022

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Causal discovery for the microbiome

The Lancet. Microbe, 2022-11, Vol.3 (11), p.e881-e887

2022

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Plasmids Shaped the Recent Emergence of the Major Nosocomial Pathogen Enterococcus faecium

mBio, 2020-02, Vol.11 (1)

2020

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Marginal Pseudo-Likelihood Learning of Discrete Markov Network Structures

Bayesian analysis, 2017-12, Vol.12 (4)

2017

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Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood

Scandinavian journal of statistics, 2017-06, Vol.44 (2), p.455-479

2017

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Stratified Gaussian graphical models

Communications in statistics. Theory and methods, 2017-06, Vol.46 (11), p.5556-5578

2017

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Counteracting deceptive responding in the Finnish Investigative Instrument of Child Sexual Abuse (FICSA)

The journal of sexual aggression, 2021-09, Vol.27 (3), p.401-412

2021

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Learning Gaussian graphical models with fractional marginal pseudo-likelihood

International journal of approximate reasoning, 2017-04, Vol.83, p.21-42

2017

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Genome-wide epistasis and co-selection study using mutual information

Nucleic acids research, 2019-10, Vol.47 (18), p.e112

2019

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Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis

Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models

DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation

High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood

A logical approach to context-specific independence

Author Correction: Genome evolution and the emergence of pathogenicity in avian Escherichia coli

High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study

A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation

New Pathogenesis Mechanisms and Translational Leads Identified by Multidimensional Analysis of Necrotizing Myositis in Primates

The Genetics of Sexuality and Aggression (GSA) Twin Samples in Finland

SuperDCA for genome-wide epistasis analysis

Locally interpretable tree boosting: An application to house price prediction

Locally interpretable tree boosting: An application to house price prediction

Representing local structure in Bayesian networks by Boolean functions

The role of local partial independence in learning of Bayesian networks

House price prediction with gradient boosted trees under different loss functions

Causal discovery for the microbiome

Plasmids Shaped the Recent Emergence of the Major Nosocomial Pathogen Enterococcus faecium

Marginal Pseudo-Likelihood Learning of Discrete Markov Network Structures

Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood

Stratified Gaussian graphical models

Counteracting deceptive responding in the Finnish Investigative Instrument of Child Sexual Abuse (FICSA)

Learning Gaussian graphical models with fractional marginal pseudo-likelihood

Genome-wide epistasis and co-selection study using mutual information

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