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Anna Cichonska
Anna Cichonska
Institute for Molecular Medicine Finland FIMM, University of Helsinki
Dirección de correo verificada de helsinki.fi
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metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis
A Cichonska, J Rousu, P Marttinen, AJ Kangas, P Soininen, T Lehtimäki, ...
Bioinformatics 32 (13), 1981-1989, 2016
1302016
Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population
H Julkunen, A Cichońska, PE Slagboom, P Würtz, ...
elife 10, e63033, 2021
1092021
Computational-experimental approach to drug-target interaction mapping: a case study on kinase inhibitors
A Cichonska, B Ravikumar, E Parri, S Timonen, T Pahikkala, A Airola, ...
PLoS computational biology 13 (8), e1005678, 2017
1032017
Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank
H Julkunen, A Cichońska, M Tiainen, H Koskela, K Nybo, V Mäkelä, ...
Nature communications 14 (1), 604, 2023
782023
Learning with multiple pairwise kernels for drug bioactivity prediction
A Cichonska, T Pahikkala, S Szedmak, H Julkunen, A Airola, M Heinonen, ...
Bioinformatics 34 (13), i509-i518, 2018
722018
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
H Julkunen, A Cichonska, P Gautam, S Szedmak, J Douat, T Pahikkala, ...
Nature communications 11 (1), 6136, 2020
672020
Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacy
I Honeyborne, TD McHugh, I Kuittinen, A Cichonska, D Evangelopoulos, ...
BMC medicine 14, 1-13, 2016
652016
Crowdsourced mapping of unexplored target space of kinase inhibitors
A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ...
Nature communications 12 (1), 3307, 2021
612021
Identification of drug candidates and repurposing opportunities through compound–target interaction networks
A Cichonska, J Rousu, T Aittokallio
Expert opinion on drug discovery 10 (12), 1333-1345, 2015
522015
Nightingale Health UK Biobank Initiative Metabolic biomarker profiling for identification of susceptibility to severe pneumonia and COVID-19 in the general population
H Julkunen, A Cichońska, PE Slagboom, P Würtz
Elife 10, e63033, 2021
262021
An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease
SE Ruotsalainen, JJ Partanen, A Cichonska, J Lin, C Benner, I Surakka, ...
European Journal of Human Genetics 29 (2), 309-324, 2021
182021
Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation
CJ Smith, N Sinnott-Armstrong, A Cichońska, H Julkunen, EB Fauman, ...
Elife 11, e79348, 2022
162022
Effects of general and central adiposity on circulating lipoprotein, lipid, and metabolite levels in UK Biobank: a multivariable Mendelian randomization study
JA Bell, TG Richardson, Q Wang, E Sanderson, T Palmer, V Walker, ...
The Lancet Regional Health–Europe 21, 2022
132022
Circulating metabolic biomarkers are consistently associated with type 2 diabetes risk in Asian and European populations
JYH Seah, Y Hong, A Cichońska, C Sabanayagam, S Nusinovici, ...
The Journal of Clinical Endocrinology & Metabolism 107 (7), e2751-e2761, 2022
102022
Modeling drug combination effects via latent tensor reconstruction
T Wang, S Szedmak, H Wang, T Aittokallio, T Pahikkala, A Cichonska, ...
Bioinformatics 37 (Supplement_1), i93-i101, 2021
102021
Blood biomarker score identifies individuals at high risk for severe COVID-19 a decade prior to diagnosis: metabolic profiling of 105,000 adults in the UK Biobank
Nightingale Health UK Biobank Initiative, H Julkunen, A Cichońska, ...
MedRxiv, 2020.07. 02.20143685, 2020
102020
Atlas of plasma nuclear magnetic resonance biomarkers for health and disease in 118,461 individuals from the UK Biobank
H Julkunen, A Cichońska, M Tiainen, H Koskela, K Nybo, V Mäkelä, ...
medRxiv, 2022.06. 13.22276332, 2022
82022
Dominant role of abdominal adiposity in circulating lipoprotein, lipid, and metabolite levels in UK Biobank: Mendelian randomization study
JA Bell, TG Richardson, Q Wang, E Sanderson, T Palmer, V Walker, ...
medRxiv, 2021.05. 29.21258044, 2021
72021
Preference Optimization for Molecular Language Models
R Park, R Theisen, N Sahni, M Patek, A Cichońska, R Rahman
arXiv preprint arXiv:2310.12304, 2023
32023
Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures
C Al-Masri, F Trozzi, SH Lin, O Tran, N Sahni, M Patek, A Cichonska, ...
Bioinformatics Advances 3 (1), vbad129, 2023
32023
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Artículos 1–20