| A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Nature biotechnology 32 (9), 903-914, 2014 | 890 | 2014 |
| A dual role for autophagy in a murine model of lung cancer S Rao, L Tortola, T Perlot, G Wirnsberger, M Novatchkova, R Nitsch, ... Nature communications 5 (1), 3056, 2014 | 456 | 2014 |
| Detecting and correcting systematic variation in large-scale RNA sequencing data S Li, PP Łabaj, P Zumbo, P Sykacek, W Shi, L Shi, J Phan, PY Wu, ... Nature biotechnology 32 (9), 888-895, 2014 | 376 | 2014 |
| The transcriptome of syncytia induced by the cyst nematode Heterodera schachtii in Arabidopsis roots D Szakasits, P Heinen, K Wieczorek, J Hofmann, F Wagner, DP Kreil, ... The Plant Journal 57 (5), 771-784, 2009 | 265 | 2009 |
| Cognitive tasks for driving a brain-computer interfacing system: a pilot study E Curran, P Sykacek, M Stokes, SJ Roberts, W Penny, I Johnsrude, ... IEEE transactions on neural systems and rehabilitation engineering 12 (1), 48-54, 2004 | 184 | 2004 |
| Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation P Sykacek, SJ Roberts, M Stokes IEEE Transactions on biomedical engineering 51 (5), 719-727, 2004 | 141 | 2004 |
| Bacterial protein signals are associated with Crohn’s disease C Juste, DP Kreil, C Beauvallet, A Guillot, S Vaca, C Carapito, S Mondot, ... Gut 63 (10), 1566-1577, 2014 | 118 | 2014 |
| Gene expression changes in long term expanded human neural progenitor cells passaged by chopping lead to loss of neurogenic potential in vivo L Anderson, RM Burnstein, X He, R Luce, R Furlong, T Foltynie, ... Experimental neurology 204 (2), 512-524, 2007 | 76 | 2007 |
| Detection of the EEG Artifacts by the Means of the (Extended) Kalman Filter M Roháľová, P Sykacek, M Koskaand, G Dorffner Meas. Sci. Rev 1 (1), 59-62, 2001 | 61 | 2001 |
| PCprophet: a framework for protein complex prediction and differential analysis using proteomic data A Fossati, C Li, F Uliana, F Wendt, F Frommelt, P Sykacek, M Heusel, ... Nature methods 18 (5), 520-527, 2021 | 53 | 2021 |
| Probabilistic methods in BCI research P Sykacek, S Roberts, M Stokes, E Curran, M Gibbs, L Pickup IEEE Transactions on Neural Systems and Rehabilitation Engineering 11 (2 …, 2003 | 52 | 2003 |
| Biological assessment of robust noise models in microarray data analysis A Posekany, K Felsenstein, P Sykacek Bioinformatics 27 (6), 807-814, 2011 | 50 | 2011 |
| Bayesian time series classification P Sykacek, SJ Roberts Advances in Neural Information Processing Systems 14, 2001 | 50 | 2001 |
| Adaptive classification by variational Kalman filtering P Sykacek, SJ Roberts Advances in Neural Information Processing Systems 15, 2002 | 48 | 2002 |
| Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. N Cristianini, J Shawe-Taylor, P Sykacek ICML, 109-117, 1998 | 46 | 1998 |
| Model-based probe set optimization for high-performance microarrays GG Leparc, T Tüchler, G Striedner, K Bayer, P Sykacek, IL Hofacker, ... Nucleic acids research 37 (3), e18-e18, 2009 | 43 | 2009 |
| Learning interaction dynamics with coupled hidden Markov models I Rezek, P Sykacek, SJ Roberts IEE Proceedings-Science, Measurement and Technology 147 (6), 345-350, 2000 | 35 | 2000 |
| Root traits of European Vicia faba cultivars—Using machine learning to explore adaptations to agroclimatic conditions J Zhao, P Sykacek, G Bodner, B Rewald Plant, cell & environment 41 (9), 1984-1996, 2018 | 34 | 2018 |
| Gene ranking using bootstrapped p-values SN Mukherjee, SJ Roberts, P Sykacek, SJ Gurr ACM SIGKDD Explorations Newsletter 5 (2), 16-22, 2003 | 32 | 2003 |
| Equivalent error bars for neural network classifiers trained by Bayesian inference. P Sykacek ESANN, 1997 | 27 | 1997 |