Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku ORCID identifier: https://orcid.org/0000-0001-5648-4532 |
Computational biomedicine, medical bioinformatics, data science, machine learning, artificial intelligence, biomarkers, computational systems immunology
Laura Elo is Professor of Computational Medicine and Head of Medical Bioinformatics Centre at University of Turku, Finland. She received PhD in Applied Mathematics in 2007 and became Adjunct Professor in Biomathematics in 2011. After postdoctoral research in molecular immunology and computational systems biology, she received JDRF Career Development Award from US and established herself as independent group leader. In 2014 she became Research Director and in 2016 Vice Director of Turku Bioscience. She has published >180 research articles and >20 software packages and led several research projects (e.g. ERC).
We develop computational methods and models for transforming large-scale molecular and clinical datasets to biomedical knowledge. A specific focus is on analyzing and interpreting data generated by modern high-throughput biotechnologies and other digital health data in a robust and reproducible manner. Using statistical modelling and advanced machine learning techniques, we have, for instance, identified early markers for type 1 diabetes and developed several powerful computational models for predicting disease and treatment risks. The ultimate goal is to improve the diagnosis, prognosis and treatment of complex diseases in close collaboration with experimental and clinical research groups. In our ongoing studies, we focus on development of robust computational tools for proteome, epigenome, and multi-modal single-cell data analysis; artificial intelligence in the analysis of digital health data for early prediction of disease and treatment risks; and computational systems immunology to study human T cell development and immune-mediated diseases. For more information, visit our website: https://elolab.utu.fi
Modern Biotechnologies and Bioinformatics; Bioinformatics in Drug Discovery; Systems biology; AI in Diagnostics, Drug Discovery and Imaging; Bioinformatics Journal Club
Training of MSc and PhD students and postdoctoral fellows
- Prediction of adulthood obesity using genetic and childhood clinical risk factors in the Cardiovascular Risk in Young Finns Study (2017)
- Circulation: Cardiovascular Genetics
(A1 Refereed original research article in a scientific journal) - 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 (2017)
- Lancet Oncology
(A1 Refereed original research article in a scientific journal) - Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor 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;71:838-40. Clinical Utility of Trial-estimated Prognostic Models. (2017)
- European Urology
(B1 Non-refereed article in a scientific journal) - ROTS: An R package for reproducibility-optimized statistical testing (2017)
- PLoS Computational Biology
Laura L. Elo
(A1 Refereed original research article in a scientific journal) - A survey of best practices for RNA-seq data analysis (2016)
- Genome Biology
(A2 Refereed review article in a scientific journal ) - Brief Isoflurane Anesthesia Produces Prominent Phosphoproteomic Changes in the Adult Mouse Hippocampus (2016)
- ACS Chemical Neuroscience
(A1 Refereed original research article in a scientific journal) - Empirical comparison of structure-based pathway methods (2016)
- Briefings in Bioinformatics
(A1 Refereed original research article in a scientific journal) - Erratum to: A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016) (2016)
- Genome Biology
(Other publication) - Liver lipid metabolism is altered by increased circulating estrogen to androgen ratio in male mouse (2016)
- Journal of Proteomics
(A1 Refereed original research article in a scientific journal) - Longitudinal modeling of ultrasensitive and traditional prostate-specific antigen and prediction of biochemical recurrence after radical prostatectomy (2016)
- Scientific Reports
(A1 Refereed original research article in a scientific journal) - Normal stroma suppresses cancer cell proliferation via mechanosensitive regulation of JMJD1a-mediated transcription (2016)
- Nature Communications
(A1 Refereed original research article in a scientific journal) - ROTS: reproducible RNA-seq biomarker detector-prognostic markers for clear cell renal cell cancer (2016)
- Nucleic Acids Research
(A1 Refereed original research article in a scientific journal) - Comparison of software packages for detecting differential expression in RNA-seq studies (2015)
- Briefings in Bioinformatics
(A1 Refereed original research article in a scientific journal) - Optimization of Statistical Methods Impact on Quantitative Proteomics Data (2015)
- Journal of Proteome Research
(A1 Refereed original research article in a scientific journal) - The L1TD1 Protein Interactome Reveals the Importance of Post-transcriptional Regulation in Human Pluripotency (2015)
- Stem Cell Reports
(A1 Refereed original research article in a scientific journal) - Using peptide-level proteomics data for detecting differentially expressed proteins. (2015)
- Journal of Proteome Research
(A1 Refereed original research article in a scientific journal) - A Note on an Exon-Based Strategy to Identify Differentially Expressed Genes in RNA-Seq Experiments (2014)
- PLoS ONE
(A1 Refereed original research article in a scientific journal) - Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility. (2014)
- Diabetes
(A1 Refereed original research article in a scientific journal) - Statistical Analysis of Protein microarray Data: a case study in type 1 diabetes research (2014)
- Journal of Proteomics and Bioinformatics
(A2 Refereed review article in a scientific journal ) - Statistical detection of quantitative protein biomarkers provides insights into signaling networks deregulated in acute myeloid leukemia (2014)
- Proteomics
(A1 Refereed original research article in a scientific journal)