Peter Sykacek
Priv.-Doz. Dr. Peter Sykacek
Institut 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
(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
PEGS Europe 2022
(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
Biodiversity Next 2019 - Building a global infrastructure for biodiversity data. Together.
(2018) Model- and Hyperspectral Imaging-based Techniques to Enhance the Root Phenotyping Pipeline
Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G
ISRR-10 - Exposing the hidden half. Root Research at the Forefront of Science, International Symposium
(2018) From Minimum Inhibitory Concentrations to Resistance Phenotypes: Semi-Automated Breakpoint Interpretation
Autoren: Beneder, V; Beisken, S; Sykacek, P; Posch, A, E
German Conference on Bioinformatics 2018
(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
48th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland GfÖ 2018 - Ecology – Meeting the Scientific Challenges of a complex World
(2017) Machine learning approaches allow for determination of important root traits and enhance cultivar differentiation
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
1st Austrian Plant Phenotyping Network (APPN) Meeting 2017
(2017) Big Data in Biology and Medical Research
Autoren: Sykacek P
Omics - Technologie der Zukunft zur Untersuchung komplexer biologischer Netzwerke
(2017) Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
COST WG1 / EPPN2020 workshop - Current and future applications of phenotyping for plant breeding
(2017) Towards malignancy directed subclassifying of complex diseases
Autoren: Sykacek P
Computational Approaches in Precision Medicine 2017
(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
Second International Legume Society Conference: Legumes for a sustainable world
(2016) Machine learning approaches for root traits exploration
Autoren: Zhao, J; Bodner, G; Sykacek, P; Rewald, B
1. Student Conference, Department of Forest and Soil Sciences, 2016
(2013) Statistical challenges of 1000$ genome sequences in plants: Lessons of TD0801-STATSEQ
Autoren: P. Sykacek
International Conference on Information and Communication Technologies in Agriculture, Food and Environment 2013
(2013) Functional Annotation of Biological Experiments by Hierarchical Bayesian Modelling of Controlled Vocabularies and High Throughput Measurements
Autoren: P. Sykacek
Österreichische Statistiktage 2013
(2012) Implications of fragment length on quantifying alternative transcripts with RNA-SEQ
Autoren: P. Sykacek
14th. MAQC/SEQC Meeting 2012
(2011) Sensitivity analysis in next generation sequencing quality control
Autoren: P. Sykacek, D.P. Kreil and P. Labaj
13th MAQC/SEQC Project Meeting 2011
(2008) Estimating Variance Components using Variational Bayes
Autoren: Thomas Tuechler, Peter Sykacek, David P. Kreil
European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008
(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
European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008
(2007) Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, German Leparc, Anais Bardet, Peter Sykacek, David Kreil
5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics
(2007) Bayesian Modelling of Shared Gene Function
Autoren: P. Sykacek
5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics
(2007) Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German Leparc, Peter Sykacek, David Kreil
15th Annual International Conference on Intelligent Systems for Molecular Biology ISMB & 6th European Conference on Computational Biology ECCB 2007
(2007) Tenfold improved performance of spatial normalization of microarrays
Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German, Leparc, Peter Sykacek, David Kreil
Critical Assessment of Microarray Data Analysis 2007
(2007) Bayesian Modelling and Systems Biology
Autoren: P. Sykacek
Workshop on Systems Biology 2007
(2005) Hierarchical Bayesian Modelling Identifies Shared Gene Function. (biologists version)
Autoren: Sykacek P., Micklem G.
Annual Research at Genetics Meeting
(2005) Hierarchical Bayesian Modelling Identifies Shared Gene Function. (technical version)
Autoren: Sykacek P., Micklem G.
Birbeck College's Bioinformatics Seminar
(2004) Probabilistic Modeling for Multi Systems Microarray Experiments
Autoren: Sykacek P., Clarkson R.
BBSRC's Exploiting Genomics Initiative Grant Holder Meeting
(2004) Biomedical Applications and the Probabilistic Framework
Autoren: P. Sykacek
Inference Group Seminar
(2004) Probabilistic Methods in BCI Research
Autoren: Sykacek P.
Birmingham Universities Computer Science Seminar
(2003) Towards Adaptive BCI
Autoren: P. Sykacek
NCAF meeting on human computer interaction
(2003) Adaptive classification by variational Kalman filtering
Autoren: Sykacek P., Roberts S. J.
Neural Information Processing Systems (NIPS) 15
(2003) Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals
Autoren: Rezek I., Roberts S. J., Sykacek P.
9th International Workshop on Artificial Intelligence and Statistics
(2002) Bayesian time series classification
Autoren: P. Sykacek, S. J. Roberts
Neural Information Processing Systems (NIPS) 14
(2002) Adaptive BCI based on variational Bayes: an empirical evaluation
Autoren: Sykacek P., Roberts S. J., Stokes M.
BCI workshop 2002, Albany NY
(2001) A probabilistic approach to high resolution sleep analysis
Autoren: Sykacek P., Roberts S. J., Rezek I., Flexer A., Dorffner G.
International Conference on Neural Networks ICANN 2001