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Samuel Kaski

Showing results (11-20 of 89) with videos related to

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BMC Bioinformatics|June 21, 2014
Stronger findings from mass spectral data through multi-peak modelingTommi Suvitaival, Simon Rogers, Samuel Kaski
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 11, 2021
DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE PredictionBetul Guvenc Paltun, Samuel Kaski, Hiroshi Mamitsuka
Journal of Cheminformatics|April 24, 2025
Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug designMuhammad Arslan Masood, Samuel Kaski, Tianyu Cui
Briefings in Bioinformatics|August 9, 2021
Machine learning approaches for drug combination therapiesBetül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
Briefings in Bioinformatics|December 16, 2019
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approachesBetül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski
Bioinformatics (Oxford, England)|September 4, 2010
Global modeling of transcriptional responses in interaction networksLeo Lahti, Juha E A Knuuttila, Samuel Kaski
Scientific Reports|March 7, 2018
Phenotype-driven identification of epithelial signalling clustersElsa Marques, Tomi Peltola, Samuel Kaski, et al.
BMC Bioinformatics|May 12, 2007
Methods for estimating human endogenous retrovirus activities from EST databasesMerja Oja, Jaakko Peltonen, Jonas Blomberg, et al.
Frontiers in Artificial Intelligence|April 24, 2023
Modeling needs user modelingMustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
International Journal of Neural Systems|September 28, 2005
Exploratory modeling of yeast stress response and its regulation with gCCA and associative clusteringJanne Nikkilä, Christophe Roos, Eerika Savia, et al.
Pageof 9

Showing results (11-20 of 89) with videos related to

Sort By:
Pageof 9
BMC Bioinformatics|June 21, 2014
Stronger findings from mass spectral data through multi-peak modelingTommi Suvitaival, Simon Rogers, Samuel Kaski
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 11, 2021
DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE PredictionBetul Guvenc Paltun, Samuel Kaski, Hiroshi Mamitsuka
Journal of Cheminformatics|April 24, 2025
Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug designMuhammad Arslan Masood, Samuel Kaski, Tianyu Cui
Briefings in Bioinformatics|August 9, 2021
Machine learning approaches for drug combination therapiesBetül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka
Briefings in Bioinformatics|December 16, 2019
Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approachesBetül Güvenç Paltun, Hiroshi Mamitsuka, Samuel Kaski
Bioinformatics (Oxford, England)|September 4, 2010
Global modeling of transcriptional responses in interaction networksLeo Lahti, Juha E A Knuuttila, Samuel Kaski
Scientific Reports|March 7, 2018
Phenotype-driven identification of epithelial signalling clustersElsa Marques, Tomi Peltola, Samuel Kaski, et al.
BMC Bioinformatics|May 12, 2007
Methods for estimating human endogenous retrovirus activities from EST databasesMerja Oja, Jaakko Peltonen, Jonas Blomberg, et al.
Frontiers in Artificial Intelligence|April 24, 2023
Modeling needs user modelingMustafa Mert Çelikok, Pierre-Alexandre Murena, Samuel Kaski
International Journal of Neural Systems|September 28, 2005
Exploratory modeling of yeast stress response and its regulation with gCCA and associative clusteringJanne Nikkilä, Christophe Roos, Eerika Savia, et al.
Pageof 9