Peter Sykacek
Priv.-Doz. Dr. Peter Sykacek
Institute of Computational Biology
Location Muthgasse 18, 1190 Wien
Email peter.sykacek@boku.ac.at
Tel: +43 1 47654-79159
Career
- 2006 Group leader Analytical Methods Develompent at the Science Chair of Bioinformatics, Department of Biotechnology, Boku University, Vienna, Austria.
- 2004 - 2005 Senior Statistician and bioinformatician at the Depatrments of Pathology and Genetics, University of Cambridge, UK.
- 2000 - 2003 Post doctoral scientist at the Department of Engineering Science, University of Oxford, UK.
- 1996 - 2000 Post graduate scienctist at the Austrian Research Institute for Artificial Intelligence (ÖFAI); Completion of PhD with distinction in June 2000.
Projects
0 Projects found.
Publications
Knowledge Transfer to Society
Media
Lectures
Year: 2022 - PhosphoFlowSeq – a novel high-throughput kinase activity assay for the identification of drug resistance mutations in EGFR
Autoren: Teufl, M; Wagner, A; Gold, L; Lehner, M; Obinger, C; Sykacek, P; Traxlmayr, M
Event: PEGS Europe 2022
Year: 2019 - Comparison of Unsupervised Learning Methods for Natural Image Processing
Autoren: Wöber, W; Tibihika, P, D; Olaverri-Monreal, C; Mehnen, L; Sykacek, P; Meimberg, H
Event: Biodiversity Next 2019 - Building a global infrastructure for biodiversity data. Together.
Year: 2018 - Model- and Hyperspectral Imaging-based Techniques to Enhance the Root Phenotyping Pipeline
Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G
Event: ISRR-10 - Exposing the hidden half. Root Research at the Forefront of Science, International Symposium
Year: 2018 - From Minimum Inhibitory Concentrations to Resistance Phenotypes: Semi-Automated Breakpoint Interpretation
Autoren: Beneder, V; Beisken, S; Sykacek, P; Posch, A, E
Event: German Conference on Bioinformatics 2018
Year: 2018 - Enhancing our understanding of root systems using model-based techniques on phenotyping data
Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G
Event: 48th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland GfÖ 2018 - Ecology – Meeting the Scientific Challenges of a complex World
Year: 2017 - Machine learning approaches allow for determination of important root traits and enhance cultivar differentiation
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
Event: 1st Austrian Plant Phenotyping Network (APPN) Meeting 2017
Year: 2017 - Big Data in Biology and Medical Research
Autoren: Sykacek P
Event: Omics - Technologie der Zukunft zur Untersuchung komplexer biologischer Netzwerke
Year: 2017 - Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
Event: COST WG1 / EPPN2020 workshop - Current and future applications of phenotyping for plant breeding
Year: 2017 - Towards malignancy directed subclassifying of complex diseases
Autoren: Sykacek P
Event: Computational Approaches in Precision Medicine 2017
Year: 2016 - Machine learning approaches allow for determination of important root traits and enhance differentiation of legumes cultivars
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
Event: Second International Legume Society Conference: Legumes for a sustainable world
Year: 2016 - Machine learning approaches for root traits exploration
Autoren: Zhao, J; Bodner, G; Sykacek, P; Rewald, B
Event: 1. Student Conference, Department of Forest and Soil Sciences, 2016
Year: 2013 - Statistical challenges of 1000$ genome sequences in plants: Lessons of TD0801-STATSEQ
Autoren: P. Sykacek
Event: International Conference on Information and Communication Technologies in Agriculture, Food and Environment 2013
Year: 2013 - Functional Annotation of Biological Experiments by Hierarchical Bayesian Modelling of Controlled Vocabularies and High Throughput Measurements
Autoren: P. Sykacek
Event: Österreichische Statistiktage 2013
Year: 2012 - Implications of fragment length on quantifying alternative transcripts with RNA-SEQ
Autoren: P. Sykacek
Event: 14th. MAQC/SEQC Meeting 2012
Year: 2011 - Sensitivity analysis in next generation sequencing quality control
Autoren: P. Sykacek, D.P. Kreil and P. Labaj
Event: 13th MAQC/SEQC Project Meeting 2011
Year: 2008 - Estimating Variance Components using Variational Bayes
Autoren: Thomas Tuechler, Peter Sykacek, David P. Kreil
Event: European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008
Year: 2008 - Assessing RNA labeling and amplification methods in a Bayesian context
Autoren: Brian Godsey, Peter Sykacek, Lisa A. Meadows, Bettina Fischer, Richard P. Auburn, Steven Russell, David P. Kreil
Event: European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008
Year: 2007 - Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, German Leparc, Anais Bardet, Peter Sykacek, David Kreil
Event: 5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics
Year: 2007 - Bayesian Modelling of Shared Gene Function
Autoren: P. Sykacek
Event: 5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics
Year: 2007 - Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German Leparc, Peter Sykacek, David Kreil
Event: 15th Annual International Conference on Intelligent Systems for Molecular Biology ISMB & 6th European Conference on Computational Biology ECCB 2007
Year: 2007 - Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German, Leparc, Peter Sykacek, David Kreil
Event: Critical Assessment of Microarray Data Analysis 2007
Year: 2007 - Bayesian Modelling and Systems Biology
Autoren: P. Sykacek
Event: Workshop on Systems Biology 2007
Year: 2005 - Hierarchical Bayesian Modelling Identifies Shared Gene Function. (biologists version)
Autoren: Sykacek P., Micklem G.
Event: Annual Research at Genetics Meeting
Year: 2005 - Hierarchical Bayesian Modelling Identifies Shared Gene Function. (technical version)
Autoren: Sykacek P., Micklem G.
Event: Birbeck College's Bioinformatics Seminar
Year: 2004 - Probabilistic Modeling for Multi Systems Microarray Experiments
Autoren: Sykacek P., Clarkson R.
Event: BBSRC's Exploiting Genomics Initiative Grant Holder Meeting
Year: 2004 - Biomedical Applications and the Probabilistic Framework
Autoren: P. Sykacek
Event: Inference Group Seminar
Year: 2004 - Probabilistic Methods in BCI Research
Autoren: Sykacek P.
Event: Birmingham Universities Computer Science Seminar
Year: 2003 - Towards Adaptive BCI
Autoren: P. Sykacek
Event: NCAF meeting on human computer interaction
Year: 2003 - Adaptive classification by variational Kalman filtering
Autoren: Sykacek P., Roberts S. J.
Event: Neural Information Processing Systems (NIPS) 15
Year: 2003 - Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals
Autoren: Rezek I., Roberts S. J., Sykacek P.
Event: 9th International Workshop on Artificial Intelligence and Statistics
Year: 2002 - Bayesian time series classification
Autoren: P. Sykacek, S. J. Roberts
Event: Neural Information Processing Systems (NIPS) 14
Year: 2002 - Adaptive BCI based on variational Bayes: an empirical evaluation
Autoren: Sykacek P., Roberts S. J., Stokes M.
Event: BCI workshop 2002, Albany NY
Year: 2001 - A probabilistic approach to high resolution sleep analysis
Autoren: Sykacek P., Roberts S. J., Rezek I., Flexer A., Dorffner G.
Event: International Conference on Neural Networks ICANN 2001