1. Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge

   Biehl, M., Sadowski, P., Bhanot, G., Bilal, E., Dayarian, A., Meyer, P., Norel, R., Rhrissorrakrai, K., Zeller, M. D. & Hormoz, S. 2014 In : Bioinformatics. 9 p.

   Research output: Scientific - peer-review › Article

2. Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism

   Arlt, W., Lang, K., Sitch, A. J., Dietz, A. S., Rhayem, Y., Bancos, I., Feuchtinger, A., Chortis, V., Gilligan, L. C., Ludwig, P., Riester, A., Asbach, E., Hughes, B. A., O’Neil, D. M., Bidlingmaier, M., Tomlinson, J. W., Hassan-Smith, Z. K., Rees, D. A., Adolf, C., Hahner, S., Quinkler, M., Dekkers, T., Deinum, J., Biehl, M., Keevil, B. G., Shackleton, C. H. L., Deeks, J. J., Walch, A. K., Beuschlein, F. & Reincke, M. 20-Apr-2017 In : JCI Insight. 2, 8

   Research output: Scientific - peer-review › Article

3. Biomedical Applications of Prototype Based Classifiers and Relevance Learning

   Biehl, M. 2017 International Conference on Algorithms for Computational Biology: 4th International Conference, AlCoB 2017, Aveiro, Portugal, June 5-6, 2017, Proceedings. Figueiredo, D., Martín-Vide, C., Pratas, D. & Vega-Rodríguez, M. A. (eds.). Cham: Springer International Publishing, p. 3-23 21 p.

   Research output: Scientific › Chapter

4. Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ

   Biehl, M., Mudali, D., Leenders, K. L. & Roerdink, J. B. T. M. Dec-2016 Brain-Inspired Computing: Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers. Amunts, K., Grandinetti, L., Lippert, T. & Petkov, N. (eds.). Cham: Springer International Publishing, p. 131-141 11 p. (Lecture Notes in Computer Science; vol. 10087)

   Research output: Scientific › Chapter

5. Predicting recurrence in clear cell Renal Cell Carcinoma: Analysis of TCGA data using outlier analysis and generalized matrix LVQ

   Mukherjee, G., Bhanot, G., Raines, K., Sastry, S., Doniach, S. & Biehl, M. 1-Jul-2016 2016 IEEE Congress on Evolutionary Computation (CEC). IEEEXplore, p. 656-661 6 p.

   Research output: Scientific - peer-review › Conference contribution

6. Prototype-based models in machine learning

   Biehl, M., Hammer, B. & Villmann, T. 2016 In : Wiley Interdisciplinary Reviews. Cognitive Science. 7, 2, p. 92-111 20 p.

   Research output: Scientific - peer-review › Review article

7. Critical assessment of automated flow cytometry data analysis techniques

   Aghaeepour, N., Finak, G., Hoos, H., Mosmann, T. R., Brinkman, R., Gottardo, R., Scheuermann, R. H., FlowCAP Consortium & DREAM Consortium Mar-2013 In : Nature Methods. 10, 3, p. 228-238 11 p.

   Research output: Scientific - peer-review › Article

8. Predicting protein phosphorylation from gene expression: Top methods from the IMPROVER Species Translation Challenge

   Dayarian, A., Romero, R., Wang, Z., Biehl, M., Bilal, E., Hormoz, S., Meyer, P., Norel, R., Rhrissorrakrai, K., Bhanot, G., Luo, F. & Tarca, A. L. 2014 In : Bioinformatics. 9 p.

   Research output: Scientific - peer-review › Article

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1. The sugar dataset - A multimodal hyperspectral dataset for classification and research

   Melchert, F., Matros, A., Biehl, M., Seiffert, U., University of Groningen, 2016

   DOI: 10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698, https://doi.org/10.4121/uuid:fad486b6-0dfb-4d23-8025-b24407a08698

   Dataset

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1. 4th International Conference on Algorithms for Computational Biology

   Biehl, M. (Invited speaker)

   5-Jun-2017 → 6-Jun-2017

   Activity: Talk or presentation › Invited talk

2. Special Session at the International Joint Conference on Neural Networks: Explainability and Interpretability in Machine Learning

   Biehl, M. (Organiser)

   17-May-2017

   Activity: Scientific › Participation in conference

3. International Workshop on Brain-Inspired Computing

   Biehl, M. (Speaker)

   14-Jun-2017

   Activity: Talk or presentation › Invited talk

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1. Distinguished Visiting Fellow, Institute of Advanced Studies

   Michael Biehl (Recipient), 1-Apr-2014

   Prize: Fellowship awarded competitively

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