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Number of items: 14.

Hill, S. M. and Heiser, L. M. and Cokalaer, T. and Unger, M. and Nesser, N. K. and Carlin, D. E. and Zhang, Y. and Sokolov, A. and Paull, E. O. and Wong, C. K. and Graim, K. and Bivol, A. and Wang, H. and Zhu, F. and Afsari, B. and Danilova, L. V. and Favorov, A. V. and Lee, W. S. and Taylor, D. and Hu, C. W. and Long, B. L. and Noren, D. P. and Bisberg, A. J. and Mills, G. B. and Gray, J. W. and Kellen, M. and Norman, T. and Friend, S. and Qutub, A. A. and Fertig, E. J. and Guan, Y. and Song, M. and Stuart, J. M. and Spellman, P. T. and Koeppl, H. and Stolovitzky, G. and Saez-Rodriguez, J. and Mukherjee, S. (2016):
Interferring causal molecular networks: empirical assessment through a community-based effort.
In: Nature methods, Nature Publishing Group, [Online-Edition: http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth...],
[Article]

Huang, L. and Hansen, A. S. and Pauleve, L. and Unger, M. and Zechner, C. and Koeppl, H. (2016):
Reconstructing dynamic molecular states from single-cell time series.
In: Journal of The Royal Society Interface, Royal Society Publishing, ISSN 1742-5689,
[Online-Edition: http://rsif.royalsocietypublishing.org/content/13/122/201605...],
[Article]

Hegemann, B. and Unger, M. and Lee, S. S. and Stoffel-Studer, I. and van den Heuvel, J. and Pelet, S. and Koeppl, H. and Peter, M. (2015):
A Cellular System for Spatial Signal Decoding in Chemical Gradients.
In: Developmental Cell, Elsevier, pp. 458-470, 35, (4), [Online-Edition: http://www.cell.com/developmental-cell/fulltext/S1534-5807%2...],
[Article]

Zechner, C. and Unger, M. and Pelet, S. and Peter, M. and Koeppl, H. (2014):
Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings.
In: Nature methods, pp. 197-202, 11, (2), [Online-Edition: http://www.nature.com/nmeth/journal/v11/n2/full/nmeth.2794.h...],
[Article]

Tarca, A. L. and Lauria, M. and Unger, M. and Bilal, E. and Boue, S. and Kumar Dey, K. and Hoeng, J. and Koeppl, H. and Martin, F. and Meyer, P. and Nandy, P. and Norel, R. and Peitsch, M. and Rice, J. and Romero, R. and Stolovitzky, G. and Talikka, M. and Xiang, Y. and Zechner, C. (2013):
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge.
In: Bioinformatics (Oxford, England), pp. 2892-2899, 29, (22), [Online-Edition: http://www.ncbi.nlm.nih.gov/pubmed/23966112],
[Article]

Nandy, P. and Unger, M. and Zechner, C. and Dey, K. and Koeppl, H. (2013):
Learning diagnostic signatures from microarray data using Ll-regularized logistic regression.
In: Systems Biomedicine, Taylor & Francis, 1, (4), [Online-Edition: http://www.tandfonline.com/doi/full/10.4161/sysb.25271?mobil...],
[Article]

Zechner, C. and Nandy, P. and Unger, M. and Koeppl, H. (2012):
Optimal variational perturbations for the inference of stochastic reaction dynamics.
IEEE, In: 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), [Online-Edition: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumbe...],
[Conference or Workshop Item]

Nandy, P. and Unger, M. and Zechner, C. and Koeppl, H. (2012):
Optimal Perturbations for the Identification of Stochastic Reaction Dynamics.
Elsevier, In: 16th IFAC Symposium on System Identification, [Online-Edition: http://www.ifac-papersonline.net/Detailed/54661.html],
[Conference or Workshop Item]

Hiroi, N. and Klann, M. and Iba, K. and de Heras Ciechomski, P. and Yamashita, S. and Tabira, A. and Okuhara, T. and Kubojima, T. and Okada, Y. and Oka, K. and Mange, R. and Unger, M. and Funahashi, A. and Koeppl, H. (2012):
From microscopy data to in silico environments for in vivo-oriented simulations.
In: EURASIP Journal on Bioinformatics and Systems Biology, p. 7, 2012, (1), [Online-Edition: http://bsb.eurasipjournals.com/CONTENT/2012/1/7],
[Article]

Unger, M. and Lee, S.-S. and Peter, M. and Koeppl, H. (2011):
Pulse Width Modulation of Liquid Flows.
San Diego, CA, Chemical and Biological Microsystems Society, In: 15th International Conference on Miniaturized Systems for Chemistry and Life Sciences, [Online-Edition: http://e-citations.ethbib.ethz.ch/view/pub:68788],
[Conference or Workshop Item]

Warzecha, H. and Ferme, D. and Peer, M. and Frank, A. and Unger, M. (2010):
Bioconversion of the antihistaminc drug loratadine by tobacco cell suspension cultures expressing human cytochrome P450 3A4.
In: Journal of bioscience and bioengineering, pp. 288-90, 109, (3), ISSN 1347-4421,
[Article]

Warzecha, H. and Frank, A. and Peer, M. and Gillam, E. M. J. and Guengerich, F. P. and Unger, M. (2007):
Formation of the indigo precursor indican in genetically engineered tobacco plants and cell cultures.
In: Plant biotechnology journal, pp. 185-91, 5, (1), ISSN 1467-7652,
[Article]

Dueckershoff, K. and Unger, M. and Frank, A. and Gillam, E. M. J. and Guengerich, F. P. and Warzecha, H. (2005):
Modified nicotine metabolism in transgenic tobacco plants expressing the human cytochrome P450 2A6 cDNA.
In: FEBS letters, pp. 2480-4, 579, (11), ISSN 0014-5793,
[Article]

Stöckigt, J. and Sheludko, Y. and Unger, M. and Gerasimenko, I. and Warzecha, H. and Stöckigt, D. (2002):
High-performance liquid chromatographic, capillary electrophoretic and capillary electrophoretic-electrospray ionisation mass spectrometric analysis of selected alkaloid groups.
In: Journal of chromatography. A, pp. 85-113, 967, (1), ISSN 0021-9673,
[Article]

This list was generated on Tue Nov 12 00:15:03 2019 CET.