Peter Sykacek

Vorträge

• Jahr: 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

  Veranstaltung: PEGS Europe 2022

• Jahr: 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

  Veranstaltung: Biodiversity Next 2019 - Building a global infrastructure for biodiversity data. Together.

• Jahr: 2018 -  Model- and Hyperspectral Imaging-based Techniques to Enhance the Root Phenotyping Pipeline

  Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G

  Veranstaltung: ISRR-10 - Exposing the hidden half. Root Research at the Forefront of Science, International Symposium

• Jahr: 2018 -  From Minimum Inhibitory Concentrations to Resistance Phenotypes: Semi-Automated Breakpoint Interpretation

  Autoren: Beneder, V; Beisken, S; Sykacek, P; Posch, A, E

  Veranstaltung: German Conference on Bioinformatics 2018

• Jahr: 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

  Veranstaltung: 48th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland GfÖ 2018 - Ecology – Meeting the Scientific Challenges of a complex World

• Jahr: 2017 -  Machine learning approaches allow for determination of important root traits and enhance cultivar differentiation

  Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B

  Veranstaltung: 1st Austrian Plant Phenotyping Network (APPN) Meeting 2017

• Jahr: 2017 -  Big Data in Biology and Medical Research

  Autoren: Sykacek P

  Veranstaltung: Omics - Technologie der Zukunft zur Untersuchung komplexer biologischer Netzwerke

• Jahr: 2017 -  Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions

  Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B

  Veranstaltung: COST WG1 / EPPN2020 workshop - Current and future applications of phenotyping for plant breeding

• Jahr: 2017 -  Towards malignancy directed subclassifying of complex diseases

  Autoren: Sykacek P

  Veranstaltung: Computational Approaches in Precision Medicine 2017

• Jahr: 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

  Veranstaltung: Second International Legume Society Conference: Legumes for a sustainable world

• Jahr: 2016 -  Machine learning approaches for root traits exploration

  Autoren: Zhao, J; Bodner, G; Sykacek, P; Rewald, B

  Veranstaltung: 1. Student Conference, Department of Forest and Soil Sciences, 2016

• Jahr: 2013 -  Statistical challenges of 1000$ genome sequences in plants: Lessons of TD0801-STATSEQ

  Autoren: P. Sykacek

  Veranstaltung: International Conference on Information and Communication Technologies in Agriculture, Food and Environment 2013

• Jahr: 2013 -  Functional Annotation of Biological Experiments by Hierarchical Bayesian Modelling of Controlled Vocabularies and High Throughput Measurements

  Autoren: P. Sykacek

  Veranstaltung: Österreichische Statistiktage 2013

• Jahr: 2012 -  Implications of fragment length on quantifying alternative transcripts with RNA-SEQ

  Autoren: P. Sykacek

  Veranstaltung: 14th. MAQC/SEQC Meeting 2012

• Jahr: 2011 -  Sensitivity analysis in next generation sequencing quality control

  Autoren: P. Sykacek, D.P. Kreil and P. Labaj

  Veranstaltung: 13th MAQC/SEQC Project Meeting 2011

• Jahr: 2008 -  Estimating Variance Components using Variational Bayes

  Autoren: Thomas Tuechler, Peter Sykacek, David P. Kreil

  Veranstaltung: European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008

• Jahr: 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

  Veranstaltung: European Conference on Compuational Biology, ECCB Satellite Meeting on Probabilistic Modelling in Computational Biology PMCB 2008

• Jahr: 2007 -  Tenfold improved performance of spatial normalization of microarrays

  Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, German Leparc, Anais Bardet, Peter Sykacek, David Kreil

  Veranstaltung: 5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics

• Jahr: 2007 -  Bayesian Modelling of Shared Gene Function

  Autoren: P. Sykacek

  Veranstaltung: 5th GEN-AU Summer School 2007 - Ultra-Sensitive Proteomics and Genomics

• Jahr: 2007 -  Tenfold improved performance of spatial normalization of microarrays

  Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German Leparc, Peter Sykacek, David Kreil

  Veranstaltung: 15th Annual International Conference on Intelligent Systems for Molecular Biology ISMB & 6th European Conference on Computational Biology ECCB 2007

• Jahr: 2007 -  Tenfold improved performance of spatial normalization of microarrays

  Autoren: Thomas Tuechler, Brian Godsey, Pawel Labaj, Anais, Bardet, German, Leparc, Peter Sykacek, David Kreil

  Veranstaltung: Critical Assessment of Microarray Data Analysis 2007

• Jahr: 2007 -  Bayesian Modelling and Systems Biology

  Autoren: P. Sykacek

  Veranstaltung: Workshop on Systems Biology 2007

• Jahr: 2005 -  Hierarchical Bayesian Modelling Identifies Shared Gene Function. (biologists version)

  Autoren: Sykacek P., Micklem G.

  Veranstaltung: Annual Research at Genetics Meeting

• Jahr: 2005 -  Hierarchical Bayesian Modelling Identifies Shared Gene Function. (technical version)

  Autoren: Sykacek P., Micklem G.

  Veranstaltung: Birbeck College's Bioinformatics Seminar

• Jahr: 2004 -  Probabilistic Modeling for Multi Systems Microarray Experiments

  Autoren: Sykacek P., Clarkson R.

  Veranstaltung: BBSRC's Exploiting Genomics Initiative Grant Holder Meeting

• Jahr: 2004 -  Biomedical Applications and the Probabilistic Framework

  Autoren: P. Sykacek

  Veranstaltung: Inference Group Seminar

• Jahr: 2004 -  Probabilistic Methods in BCI Research

  Autoren: Sykacek P.

  Veranstaltung: Birmingham Universities Computer Science Seminar

• Jahr: 2003 -  Towards Adaptive BCI

  Autoren: P. Sykacek

  Veranstaltung: NCAF meeting on human computer interaction

• Jahr: 2003 -  Adaptive classification by variational Kalman filtering

  Autoren: Sykacek P., Roberts S. J.

  Veranstaltung: Neural Information Processing Systems (NIPS) 15

• Jahr: 2003 -  Ensemble Coupled Hidden Markov Models for Joint Characterisation of Dynamic Signals

  Autoren: Rezek I., Roberts S. J., Sykacek P.

  Veranstaltung: 9th International Workshop on Artificial Intelligence and Statistics

• Jahr: 2002 -  Bayesian time series classification

  Autoren: P. Sykacek, S. J. Roberts

  Veranstaltung: Neural Information Processing Systems (NIPS) 14

• Jahr: 2002 -  Adaptive BCI based on variational Bayes: an empirical evaluation

  Autoren: Sykacek P., Roberts S. J., Stokes M.

  Veranstaltung: BCI workshop 2002, Albany NY

• Jahr: 2001 -  A probabilistic approach to high resolution sleep analysis

  Autoren: Sykacek P., Roberts S. J., Rezek I., Flexer A., Dorffner G.

  Veranstaltung: International Conference on Neural Networks ICANN 2001