Nico Pfeifer

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 30

Top Venues

Eberhard Karls University of Tübingen (PHD)

Education History

Eberhard Karls University of Tübingen

PHD

Publications

Filippo Grazioli, Pierre Machart, Anja Mösch, Kai Li, Leonardo V. Castorina, Nico Pfeifer, Martin Renqiang Min
Attentive Variational Information Bottleneck for TCR-peptide interaction prediction. Bioinform. 39 (1) (2023)
Christian Malte Boßelmann, Ulrike B. S. Hedrich, Holger Lerche, Nico Pfeifer
Predicting functional effects of ion channel variants using new phenotypic machine learning methods. PLoS Comput. Biol. 19 (3) (2023)
Anna Hake, Anja Germann, Corena de Beer, Alexander Thielen, Martin Däumer, Wolfgang Preiser, Hagen von Briesen, Nico Pfeifer
Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models. PLoS Comput. Biol. 19 (12) (2023)
Jonas C. Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier, Rolf Fendel, Nico Pfeifer, Bernhard Reuter
protein antigen candidate prediction. Bioinform. 39 (Supplement-1) (2023)
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach. CoRR (2023)
Jonas Christian Ditz, Jacqueline Wistuba-Hamprecht, Timo Maier, Rolf Fendel, Nico Pfeifer, Bernhard Reuter
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction. CoRR (2023)
Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer
COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data. Bioinform. 39 (Supplement-1) (2023)
Ali Burak Ünal, Nico Pfeifer, Mete Akgün
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves. NSS (2023)
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
CECILIA: Comprehensive Secure Machine Learning Framework. CoRR (2022)
Marius de Arruda Botelho Herr, Michael Graf, Peter Placzek, Florian König, Felix Bötte, Tyra Stickel, David Hieber, Lukas Zimmermann, Michael Slupina, Christopher Mohr, Stephanie Biergans, Mete Akgün, Nico Pfeifer, Oliver Kohlbacher
Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). CoRR (2022)
Mete Akgün, Nico Pfeifer, Oliver Kohlbacher
Efficient privacy-preserving whole-genome variant queries. Bioinform. 38 (8) (2022)
Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data. CoRR (2022)
Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer
Convolutional Motif Kernel Networks. CoRR (2021)
Mete Akgün, Ali Burak Ünal, Bekir Ergüner, Nico Pfeifer, Oliver Kohlbacher
Identifying disease-causing mutations with privacy protection. Bioinform. 36 (21) (2021)
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. AAAI (2021)
Ali Burak Ünal, Nico Pfeifer, Mete Akgün
ppAUC: Privacy Preserving Area Under the Curve with Secure 3-Party Computation. CoRR (2021)
Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. ETRA Short Papers (2020)
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. CoRR (2020)
Huajie Chen, Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation. IWSPA@CODASPY (2020)
Lisa Handl, Adrin Jalali, Michael Scherer, Ralf Eggeling, Nico Pfeifer
Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data. Bioinform. 35 (14) (2019)
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine. CANS (2019)
Efe Bozkir, Ali Burak Ünal, Mete Akgün, Enkelejda Kasneci, Nico Pfeifer
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework. CoRR (2019)
Benedict Röder, Nicolas Kersten, Marius Herr, Nora K. Speicher, Nico Pfeifer
web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning. Nucleic Acids Res. 47 (Webserver-Issue) (2019)
Matthias Döring, Joachim Büch, Georg Friedrich, Alejandro Pironti, Prabhav Kalaghatgi, Elena Knops, Eva Heger, Martin Obermeier, Martin Däumer, Alexander Thielen, Rolf Kaiser, Thomas Lengauer, Nico Pfeifer
geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data. Nucleic Acids Res. 46 (Webserver-Issue) (2018)
Gabriele Weiler, Ulf Schwarz, Jochen Rauch, Kerstin Rohm, Thorsten Lehr, Stefan Theobald, Stephan Kiefer, Katharina Götz, Katharina Och, Nico Pfeifer, Lisa Handl, Sigrun Smola, Matthias Ihle, Amin T. Turki, Dietrich W. Beelen, Jürgen Rissland, Jörg Bittenbring, Norbert M. Graf
XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine. MIE (2018)
Nora K. Speicher, Nico Pfeifer
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes. CoRR (2018)
Sarvesh Nikumbh, Nico Pfeifer
Genetic sequence-based prediction of long-range chromatin interactions suggests a potential role of short tandem repeat sequences in genome organization. BMC Bioinform. 18 (1) (2017)
Nora K. Speicher, Nico Pfeifer
Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples. J. Integr. Bioinform. 14 (2) (2017)
Anna Hake, Nico Pfeifer
Prediction of HIV-1 sensitivity to broadly neutralizing antibodies shows a trend towards resistance over time. PLoS Comput. Biol. 13 (10) (2017)
Sarvesh Nikumbh, Peter Ebert, Nico Pfeifer
All Fingers Are Not the Same: Handling Variable-Length Sequences in a Discriminative Setting Using Conformal Multi-Instance Kernels. WABI (2017)
Matthias Döring, Gilles Gasparoni, Jasmin Gries, Karl Nordström, Pavlo Lutsik, Jörn Walter, Nico Pfeifer
Identification and analysis of methylation call differences between bisulfite microarray and bisulfite sequencing data with statistical learning techniques. BMC Bioinform. 16 (S-3) (2015)
Nora K. Speicher, Nico Pfeifer
Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery. Bioinform. 31 (12) (2015)
Adrin Jalali, Nico Pfeifer
Interpretable Per Case Weighted Ensemble Method for Cancer Associations. WABI (2014)
Nico Pfeifer, Thomas Lengauer
Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data. Bioinform. 28 (18) (2012)
Nico Pfeifer, Oliver Kohlbacher
Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles. WABI (2008)
Ole Schulz-Trieglaff, Nico Pfeifer, Clemens Gröpl, Oliver Kohlbacher, Knut Reinert
LC-MSsim - a simulation software for liquid chromatography mass spectrometry data. BMC Bioinform. 9 (2008)
Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert, Oliver Kohlbacher
OpenMS - An open-source software framework for mass spectrometry. BMC Bioinform. 9 (2008)
Nico Pfeifer, Andreas Leinenbach, Christian G. Huber, Oliver Kohlbacher
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics. BMC Bioinform. 8 (2007)
Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (2) (2007)
Oliver Kohlbacher, Knut Reinert, Clemens Gröpl, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Marc Sturm
TOPP - the OpenMS proteomics pipeline. Bioinform. 23 (2) (2007)
Maike Tech, Nico Pfeifer, Burkhard Morgenstern, Peter Meinicke
TICO: a tool for improving predictions of prokaryotic translation initiation sites. Bioinform. 21 (17) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nico Pfeifer