Tero Aittokallio

Research interests

Publications

• SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

  Nucleic Acids Research · 2022 · https://doi.org/10.1093/nar/gkac382

• Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

  Nature Communications · 2022 · https://doi.org/10.1038/s41467-022-28803-w

• Artificial intelligence, machine learning, and drug repurposing in cancer

  Expert Opinion on Drug Discovery · 2021 · 10.1080/17460441.2021.1883585

• Implementing a Functional Precision Medicine Tumor Board for Acute Myeloid Leukemia

  Cancer Discovery · 2021 · 10.1158/2159-8290.cd-21-0410

• SynergyFinder 2.0: visual analytics of multi-drug combination synergies

  Nucleic Acids Research · 2020 · https://doi.org/10.1093/nar/gkaa216

• A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

  Nature Genetics · 2020 · https://doi.org/10.1038/s41588-020-0603-8

• Integrated drug profiling and CRISPR screening identify essential pathways for CAR T-cell cytotoxicity

  Blood · 2019 · 10.1182/blood.2019002121

• Prediction of drug combination effects with a minimal set of experiments

  Nature Machine Intelligence · 2019 · 10.1038/s42256-019-0122-4

• Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

  Nature Communications · 2019 · https://doi.org/10.1038/s41467-019-09799-2

• Machine learning and feature selection for drug response prediction in precision oncology applications

  Biophysical Reviews · 2018 · 10.1007/s12551-018-0446-z

• Methods for High-throughput Drug Combination Screening and Synergy Scoring

  Methods in molecular biology · 2018 · 10.1007/978-1-4939-7493-1_17

• Susceptibility of low-density lipoprotein particles to aggregate depends on particle lipidome, is modifiable, and associates with future cardiovascular deaths

  European Heart Journal · 2018 · https://doi.org/10.1093/eurheartj/ehy319

• Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

  Cell chemical biology · 2017 · 10.1016/j.chembiol.2017.11.009

• SynergyFinder: a web application for analyzing drug combination dose–response matrix data

  Bioinformatics · 2017 · https://doi.org/10.1093/bioinformatics/btx162

• Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

  The Lancet Oncology · 2016 · https://doi.org/10.1016/s1470-2045(16)30560-5

• Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

  The Lancet Oncology · 2016 · https://doi.org/10.1016/s1470-2045(16)30560-5

• What is synergy? The Saariselkä agreement revisited

  Frontiers in Pharmacology · 2015 · 10.3389/fphar.2015.00181

• Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products

  Natural Product Reports · 2015 · https://doi.org/10.1039/c5np00005j

• Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model

  Computational and Structural Biotechnology Journal · 2015 · https://doi.org/10.1016/j.csbj.2015.09.001

• Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

  Journal of Chemical Information and Modeling · 2014 · https://doi.org/10.1021/ci400709d

• Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies

  Scientific Reports · 2014 · https://doi.org/10.1038/srep05193

• Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles

  Current Pharmaceutical Design · 2014 · 10.2174/13816128113199990470

• Toward more realistic drug-target interaction predictions

  Briefings in Bioinformatics · 2014 · https://doi.org/10.1093/bib/bbu010

• A community effort to assess and improve drug sensitivity prediction algorithms

  Nature Biotechnology · 2014 · https://doi.org/10.1038/nbt.2877

• Individualized Systems Medicine Strategy to Tailor Treatments for Patients with Chemorefractory Acute Myeloid Leukemia

  Cancer Discovery · 2013 · https://doi.org/10.1158/2159-8290.cd-13-0350

• Dealing with missing values in large-scale studies: microarray data imputation and beyond

  Briefings in Bioinformatics · 2009 · 10.1093/bib/bbp059

• Graph-based methods for analysing networks in cell biology

  Briefings in Bioinformatics · 2006 · 10.1093/bib/bbl022

Current projects

No projects listed.