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Author Details

Samuel Kaski
Aalto University
1995
79
24
PMIDPaper TitleJournal TitlePublished Year
37556769Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation: From Public to Proprietary Data.Chem Res Toxicol2023
37556769Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation: From Public to Proprietary Data.Chem Res Toxicol2023
33705322DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction.IEEE/ACM Trans Comput Biol Bioinform2022
36371468Gene-gene interaction detection with deep learning.Commun Biol2022
36408411The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study.Front Neurosci2022
36578043Human-in-the-loop assisted de novo molecular design.J Cheminform2022
36474143Identification of multiplicatively acting modulatory mutational signatures in cancer.BMC Bioinformatics2022
33705322DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction.IEEE/ACM Trans Comput Biol Bioinform2022
36408411The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study.Front Neurosci2022
36474143Identification of multiplicatively acting modulatory mutational signatures in cancer.BMC Bioinformatics2022
36578043Human-in-the-loop assisted de novo molecular design.J Cheminform2022
36371468Gene-gene interaction detection with deep learning.Commun Biol2022
31838491Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches.Brief Bioinform2021
31838491Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches.Brief Bioinform2021
34368832Machine learning approaches for drug combination therapies.Brief Bioinform2021
34368832Machine learning approaches for drug combination therapies.Brief Bioinform2021
33147349Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods.Appl Microbiol Biotechnol2020
32047136Plasmids Shaped the Recent Emergence of the Major Nosocomial Pathogen Enterococcus faecium.mBio2020
33147349Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldolase (DERA) assessed by different protein engineering and machine learning methods.Appl Microbiol Biotechnol2020
32047136Plasmids Shaped the Recent Emergence of the Major Nosocomial Pathogen Enterococcus faecium.mBio2020
30600573Discovering heritable modes of MEG spectral power.Hum Brain Mapp2019
31763361Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.J Assoc Inf Sci Technol2019
30600573Discovering heritable modes of MEG spectral power.Hum Brain Mapp2019
31510676Bayesian metabolic flux analysis reveals intracellular flux couplings.Bioinformatics2019
31510671Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.Bioinformatics2019
31510659Representation transfer for differentially private drug sensitivity prediction.Bioinformatics2019
30977782Modelling GÿE with historical weather information improves genomic prediction in new environments.Bioinformatics2019
31204797Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation.Cogn Sci2019
31763361Integrating neurophysiologic relevance feedback in intent modeling for information retrieval.J Assoc Inf Sci Technol2019
31204797Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation.Cogn Sci2019
31510676Bayesian metabolic flux analysis reveals intracellular flux couplings.Bioinformatics2019
31510671Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data.Bioinformatics2019
31510659Representation transfer for differentially private drug sensitivity prediction.Bioinformatics2019
30977782Modelling GÿE with historical weather information improves genomic prediction in new environments.Bioinformatics2019
29507319Phenotype-driven identification of epithelial signalling clusters.Sci Rep2018
31997856Likelihood-free inference via classification.Stat Comput2018
30361401Depression, depressive symptoms and treatments in women who have recently given birth: UK cohort study.BMJ Open2018
29949984Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.Bioinformatics2018
29507319Phenotype-driven identification of epithelial signalling clusters.Sci Rep2018
29409513Efficient differentially private learning improves drug sensitivity prediction.Biol Direct2018
31997856Likelihood-free inference via classification.Stat Comput2018
29949984Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.Bioinformatics2018
30361401Depression, depressive symptoms and treatments in women who have recently given birth: UK cohort study.BMJ Open2018
29409513Efficient differentially private learning improves drug sensitivity prediction.Biol Direct2018
28929971MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.BMC Bioinformatics2017
28988802A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines.Cell Syst2017
28671182A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury.Nat Commun2017
28929971MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection.BMC Bioinformatics2017
28175922Fundamentals and Recent Developments in Approximate Bayesian Computation.Syst Biol2017
28175922Fundamentals and Recent Developments in Approximate Bayesian Computation.Syst Biol2017
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Collaborators

Tero Aittokallio
Institute for Molecular Medicine Finland (FIMM), University of Helsinki
Co-authored papers 7
Krister Wennerberg
University of Copenhagen
Co-authored papers 7
Suleiman A Khan
Helsinki Institute for Information Technology (HIIT), Aalto University
Co-authored papers 6
Olli Kallioniemi
Karolinska Institute
Co-authored papers 5
Hiroshi Mamitsuka
Institute for Chemical Research, Kyoto University
Co-authored papers 5
Matej Ore??i??
University of Turku and Abo Akademi University
Co-authored papers 4
Mehmet G??nen
Department of Infectious Diseases and Clinical Microbiology, Koc University
Co-authored papers 4
Ali Faisal
Co-authored papers 4
Gustavo Stolovitzky
IBM T.J. Watson Research Center
Co-authored papers 3
Peddinti Gopalacharyulu
Technical Research Centre of Finland
Co-authored papers 3
Sakari Knuutila
Co-authored papers 3
Alvis Brazma
European Bioinformatics Institute
Co-authored papers 3
José Caldas
Co-authored papers 3
Kerstin Bunte
University of Groningen
Co-authored papers 3
Samuli Ripatti
Co-authored papers 2
Alok Jaiswal
Indian Institute of Technology Kanpur
Co-authored papers 2
Fan Zhu
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
Co-authored papers 2
Nils Gehlenborg
Harvard Medical School
Co-authored papers 2
Egon L Willighagen
Maastricht University
Co-authored papers 2
Bruce Hoff
Hughes Research Laboratories
Co-authored papers 2
Yang Xie
Quantitative Biomedical Research Center
Co-authored papers 2
Xiaowei Zhan
Southwestern Medical Center, University of Texas
Co-authored papers 2
Matti Pirinen
Co-authored papers 2
Nils Gehlenborg
Co-authored papers 2
Tao Wang
University of Texas Southwestern Medical Center
Co-authored papers 2
Jing Tang
University of Helsinki
Co-authored papers 2
Thea Norman
Bill & Melinda Gates Foundation
Co-authored papers 2
Yuanfang Guan
University of Michigan ann arbor
Co-authored papers 2
Guanghua Xiao
The University of Texas Southwestern Medical Center
Co-authored papers 2
Aki S Havulinna
Co-authored papers 2
Release 1.2