Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID-tunniste: https://orcid.org/orcid.org/0000-0002-0886-9769 |
Tero Aittokallio received his PhD in Applied Mathematics from the University of Turku in 2001, under the supervision of Prof. Mats Gyllenberg. He then did his post-doctoral training in the Systems Biology Lab at the Institut Pasteur (2006-2007), with Dr. Benno Schwikowski, where he focused on network biology applications using high-throughput experimental assays and network analysis tools such as Cytoscape. In 2007, Dr. Aittokallio launched his independent career as a principal investigator in the Turku Biomathematics Research Group, where he received a five-year appointment as an Academy of Finland Research Fellow (2007-2012). Tero Aittokallio joined Institute for Molecular Medicine Finland (FIMM) as EMBL Group Leader in the fall of 2011, and was selected as Professor of Statistics and Applied Mathematics at University of Turku in 2015.
Aittokallio's research group focuses on developing and applying integrated computational-experimental approaches to tackle biomedical questions, such as how genes function as interaction networks to carry out and regulate cellular processes, how alterations in these networks contribute to complex traits, such as human diseases, and where and how in the disease network one should target to optimally inhibit the disease phenotypes, such as tumor growth.
Computational statistics.
Scientific computing.
- OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer (2023)
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Resistance to immune checkpoint therapies by tumour-induced T-cell desertification and exclusion: key mechanisms, prognostication and new therapeutic opportunities (2023)
- British Journal of Cancer
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - High intratumoral dihydrotestosterone is associated with antiandrogen resistance in VCaP prostate cancer xenografts in castrated mice (2022)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Target-specific compound selectivity for multi-target drug discovery and repurposing (2022)
- Frontiers in Pharmacology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Tumor microenvironment as a metapopulation model: The effects of angiogenesis, emigration and treatment modalities (2022)
- Journal of Theoretical Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia (2021)
- npj Precision Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Crowdsourced mapping of unexplored target space of kinase inhibitors (2021)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Modeling drug combination effects via latent tensor reconstruction (2021) Wang Tianduanyi, Szedmak Sandor,Wang Haishan, Aittokallio Tero, Pahikkala Tapio, Cichonska Anna,Rousu Juho
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multi-modal meta-analysis of cancer cell line omics profiles identifies ECHDC1 as a novel breast tumor suppressor (2021)
- Molecular Systems Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer (2020)
- Nature Genetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A normalized drug response metric improves accuracy and consistency of anticancer drug sensitivity quantification in cell-based screening (2020)
- Communications Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions (2020)
- Scientific Data
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Breeze: an integrated quality control and data analysis application for high-throughput drug screening (2020)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)
- International Journal of Medical Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Improved detection of differentially represented DNA barcodes for high-throughput clonal phenomics (2020)
- Molecular Systems Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Integrated drug profiling and CRISPR screening identify essential pathways for CAR T-cell cytotoxicity (2020)
- Blood
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Interactive visual analysis of drug-target interaction networks using Drug Target Profiler, with applications to precision medicine and drug repurposing (2020)
- Briefings in Bioinformatics
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects (2020)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Modelling of killer T-cell and cancer cell subpopulation dynamics under immuno- and chemotherapies (2020)
- Journal of Theoretical Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multiobjective optimization identifies cancer-selective combination therapies (2020)
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )