Applied Bioinformatics Group


A   A   A
Sections
Home > People > Nico Pfeifer

Skip to content. | Skip to navigation

Nico Pfeifer
Document Actions

Nico Pfeifer

eScience Research group at Microsoft Research
Los Angeles , CA 90024

Biography:

  • since 2009,  Post Doc Researcher in the eScience Research group at Microsoft Research.
  • 2005 - 2009, Ph.D. in Computational Biology, University of Tübingen
  • 2004 - 2005, Master of Science in Applied Computer Science, University of Göttingen
  • 2001 - 2004, Bachelor of Science in Applied Computer Science (direction Bioinformatics), University of Göttingen

Contact:

np @ microsoft.com (replace n with first name and p with first two letters of second name)

Papers:

Presentations:

  • N. Pfeifer and O. Kohlbacher:
    Multiple Instance Learning Allows MHC Class II Epitope Predictions across Alleles 8th Workshop on Algorithms in Bioinformatics (WABI 2008)
  • N. Pfeifer, C. G. Huber, A. Leinenbach, O. Kohlbacher
    Improving Identification with new Machine Learning Techniques. Dagstuhl Seminar Computational Proteomics, Dagstuhl 2008
  • N. Pfeifer, C. G. Huber, A. Leinenbach, O. Kohlbacher:
    Statistical learning of peptide retention behavior in chromatographic separations: A new kernel-based approach for computational proteomics. NIPS Machine Learning in Computational Biology workshop, Whistler 2007

Technical Reports:

Posters:

  • N. Pfeifer and O. Kohlbacher:
    Multiple instance learning allows MHC class II epitope predictions for alleles without experimental data
    7th European Conference on Computational Biology (ECCB)
  • N. Pfeifer and O. Kohlbacher:
    Peptide separation prediction: A new kernel-based approach for computational proteomics
    15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB)
  • M. Tech, N. Pfeifer, B. Morgenstern, P. Meinicke:
    Improving Prediction of Translation Initiation Sites in Prokaryotic Genomes with TICO
    German Conference on Bioinformatics GCB'05
  • P. Meinicke, N. Pfeifer, T. Brodag, M. Tech, R. Merkl, B. Morgenstern, S. Waack:
    Kernel-based Prediction of Prokaryotic Translation Initiation Sites
    German Conference on Bioinformatics GCB'04