Seuraa
Maiju Pesonen
Maiju Pesonen
PhD, Researcher, Oslo Centre for Biostatistics and Epidemiology
Vahvistettu sähköpostiosoite verkkotunnuksessa medisin.uio.no
Nimike
Viittaukset
Viittaukset
Vuosi
Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis
MJ Skwark, NJ Croucher, S Puranen, C Chewapreecha, M Pesonen, ...
PLoS genetics 13 (2), e1006508, 2017
1102017
Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium
S Arredondo-Alonso, J Top, A McNally, S Puranen, M Pesonen, J Pensar, ...
MBio 11 (1), 10.1128/mbio. 03284-19, 2020
1072020
Apparent nosocomial adaptation of Enterococcus faecalis predates the modern hospital era
AK Pöntinen, J Top, S Arredondo-Alonso, G Tonkin-Hill, AR Freitas, ...
Nature communications 12 (1), 1523, 2021
902021
Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis
P Kachroo, JM Eraso, SB Beres, RJ Olsen, L Zhu, W Nasser, PE Bernard, ...
Nature genetics 51 (3), 548-559, 2019
702019
Genome-wide epistasis and co-selection study using mutual information
J Pensar, S Puranen, B Arnold, N MacAlasdair, J Kuronen, G Tonkin-Hill, ...
Nucleic acids research 47 (18), e112-e112, 2019
412019
SuperDCA for genome-wide epistasis analysis
S Puranen, M Pesonen, J Pensar, YY Xu, JA Lees, SD Bentley, ...
Microbial genomics 4 (6), e000184, 2018
272018
Strong pathogen competition in neonatal gut colonisation
T Mäklin, HA Thorpe, AK Pöntinen, RA Gladstone, Y Shao, M Pesonen, ...
Nature Communications 13 (1), 7417, 2022
182022
Plasmids shaped the recent emergence of the major nosocomial pathogen Enterococcus faecium. mBio 11: e03284-19
S Arredondo-Alonso, J Top, A McNally, S Puranen, M Pesonen, J Pensar, ...
Europe PMC free article][Abstract][Google Scholar], 2020
182020
Strain Variability of Listeria monocytogenes under NaCl Stress Elucidated by a High-Throughput Microbial Growth Data Assembly and Analysis Protocol
M Aalto-Araneda, A Pöntinen, M Pesonen, J Corander, A Markkula, ...
Applied and environmental microbiology 86 (6), e02378-19, 2020
172020
Covariance matrix estimation for left-censored data
M Pesonen, H Pesonen, J Nevalainen
Computational Statistics & Data Analysis 92, 13-25, 2015
142015
Co-evolutionary Signals Identify Burkholderia pseudomallei Survival Strategies in a Hostile Environment
C Chewapreecha, J Pensar, S Chattagul, M Pesonen, A Sangphukieo, ...
Molecular Biology and Evolution 39 (1), msab306, 2022
122022
A case study of normalization, missing data and variable selection methods in lipidomics
M Kujala, J Nevalainen
Statistics in Medicine 34 (1), 59-73, 2015
122015
Genomic rearrangements uncovered by genome-wide co-evolution analysis of a major nosocomial pathogen, Enterococcus faecium
J Top, S Arredondo-Alonso, AC Schürch, S Puranen, M Pesonen, ...
Microbial genomics 6 (12), e000488, 2020
112020
A combined PLS and negative binomial regression model for inferring association networks from next-generation sequencing count data
M Pesonen, J Nevalainen, S Potter, S Datta, S Datta
IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2017
72017
Safety and efficacy of faecal microbiota transplantation by Anaerobic Cultivated Human Intestinal Microbiome (ACHIM) in patients with systemic sclerosis: study protocol for the …
AM Hoffmann-Vold, HH Fretheim, VK Sarna, I Barua, MN Carstens, ...
BMJ open 11 (6), e048541, 2021
62021
The effect of recombination on the evolution of a population of Neisseria meningitidis
N MacAlasdair, M Pesonen, O Brynildsrud, V Eldholm, PA Kristiansen, ...
Genome Research 31 (7), 1258-1268, 2021
52021
High-dimensional structure learning of binary pairwise Markov networks: a comparative numerical study
J Pensar, Y Xu, S Puranen, M Pesonen, Y Kabashima, J Corander
Computational statistics & data analysis 141, 62-76, 2020
42020
Differential network analysis with multiply imputed lipidomic data
M Kujala, J Nevalainen, W März, R Laaksonen, S Datta
Plos one 10 (3), e0121449, 2015
42015
Biomarkers predictive of atrial fibrillation in patients with cryptogenic stroke. Insights from the Nordic Atrial Fibrillation and Stroke (NOR‐FIB) study
A Tancin Lambert, B Ratajczak‐Tretel, R Al‐Ani, K Arntzen, GK Bakkejord, ...
European Journal of Neurology 30 (5), 1352-1363, 2023
32023
Modulation of multidrug-resistant clone success in Escherichia coli populations: a longitudinal, multi-country, genomic and antibiotic usage cohort study
AK Pöntinen, RA Gladstone, H Pesonen, M Pesonen, F Cléon, BJ Parcell, ...
The Lancet Microbe 5 (2), e142-e150, 2024
22024
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Artikkelit 1–20