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Tero Aittokallio

Showing results (1-10 of 255) with videos related to

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Briefings in Bioinformatics|December 8, 2009
Dealing with missing values in large-scale studies: microarray data imputation and beyondTero Aittokallio
Expert Opinion on Drug Discovery|March 8, 2022
What are the current challenges for machine learning in drug discovery and repurposing?Tero Aittokallio
Current Pharmaceutical Design|March 28, 2013
Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principlesJing Tang, Tero Aittokallio
Biophysical Reviews|August 12, 2018
Machine learning and feature selection for drug response prediction in precision oncology applicationsMehreen Ali, Tero Aittokallio
European Urology|May 14, 2017
Re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40Tuomas Mirtti, Tero Aittokallio
Briefings in Bioinformatics|August 2, 2006
Graph-based methods for analysing networks in cell biologyTero Aittokallio, Benno Schwikowski
Expert Opinion on Drug Discovery|December 14, 2017
Improving the efficacy-safety balance of polypharmacology in multi-target drug discoveryBalaguru Ravikumar, Tero Aittokallio
Cell Chemical Biology|February 25, 2021
Re-defining synthetic lethality by phenotypic profiling for precision oncologyYevhen Akimov, Tero Aittokallio
Current Opinion in Structural Biology|June 13, 2024
Editorial overview-Artificial intelligence methodologies in structural biology: Bridging the gap to medical applicationsTero Aittokallio, Evandro Fei Fang
Molecular Biosystems|February 20, 2013
Predicting drug-target interactions through integrative analysis of chemogenetic assays in yeastMarja A Heiskanen, Tero Aittokallio
Pageof 26

Showing results (1-10 of 255) with videos related to

Sort By:
Pageof 26
Briefings in Bioinformatics|December 8, 2009
Dealing with missing values in large-scale studies: microarray data imputation and beyondTero Aittokallio
Expert Opinion on Drug Discovery|March 8, 2022
What are the current challenges for machine learning in drug discovery and repurposing?Tero Aittokallio
Current Pharmaceutical Design|March 28, 2013
Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principlesJing Tang, Tero Aittokallio
Biophysical Reviews|August 12, 2018
Machine learning and feature selection for drug response prediction in precision oncology applicationsMehreen Ali, Tero Aittokallio
European Urology|May 14, 2017
Re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40Tuomas Mirtti, Tero Aittokallio
Briefings in Bioinformatics|August 2, 2006
Graph-based methods for analysing networks in cell biologyTero Aittokallio, Benno Schwikowski
Expert Opinion on Drug Discovery|December 14, 2017
Improving the efficacy-safety balance of polypharmacology in multi-target drug discoveryBalaguru Ravikumar, Tero Aittokallio
Cell Chemical Biology|February 25, 2021
Re-defining synthetic lethality by phenotypic profiling for precision oncologyYevhen Akimov, Tero Aittokallio
Current Opinion in Structural Biology|June 13, 2024
Editorial overview-Artificial intelligence methodologies in structural biology: Bridging the gap to medical applicationsTero Aittokallio, Evandro Fei Fang
Molecular Biosystems|February 20, 2013
Predicting drug-target interactions through integrative analysis of chemogenetic assays in yeastMarja A Heiskanen, Tero Aittokallio
Pageof 26