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Computer Science

D-Index
44
Citations
7150
World Ranking
7638
National Ranking
376

Overview

Stefan Kramer is affiliated with Johannes Gutenberg University of Mainz in Germany. Their research spans critical areas within Medicine and Biochemistry, Genetics and Molecular Biology, with focused expertise in Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Oncology, and Biomedical Engineering.

The scientist's work covers a range of topics including:

  • SARS-CoV-2 and COVID-19 Research
  • Monoclonal and Polyclonal Antibodies Research
  • CAR-T cell therapy research
  • Gene expression and cancer classification
  • Advanced Biosensing Techniques and Applications
  • Microfluidic and Capillary Electrophoresis Applications
  • SARS-CoV-2 detection and testing

The recent publications authored or co-authored by Stefan Kramer include:

  • "SARS-CoV-2 neutralizing human recombinant antibodies selected from pre-pandemic healthy donors binding at RBD-ACE2 interface," 2021, Nature Communications
  • "Digital DNA microarray generation on glass substrates," 2020, Scientific Reports
  • "SARS-CoV-2 neutralizing human recombinant antibodies selected from pre-pandemic healthy donors binding at RBD-ACE2 interface," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction," 2023, BMC Bioinformatics
  • "An ultra-high-throughput screen for the evaluation of peptide HLA-Binder interactions," 2023, Scientific Reports

Stefan Kramer has frequently collaborated with several researchers, notably Johannes Wöhrle, Günter Roth, Federico Bertoglio, Doris Meier, and Nora Langreder. These collaborators have contributed to multiple publications, indicating ongoing scientific partnerships.

Publication venues frequently featuring Stefan Kramer's work include:

  • Scientific Reports
  • arXiv (Cornell University)
  • Nature Communications
  • bioRxiv (Cold Spring Harbor Laboratory)
  • BMC Bioinformatics

Best Publications

  • Propositionalization approaches to relational data mining

    Stefan Kramer;Nada Lavrač;Peter Flach

  • Interpreting Bayesian Logic Programs

    Kristian Kersting;Luc De Raedt;Stefan Kramer

  • Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds.

    Christoph Helma;Tobias Cramer;Stefan Kramer;Luc De Raedt

  • Molecular feature mining in HIV data

    Stefan Kramer;Luc De Raedt;Christoph Helma

  • The predictive toxicology challenge 2000-2001

    Christoph Helma;Ross D. King;Stefan Kramer;Ashwin Srinivasan

  • Pitfalls of supervised feature selection

    Pawel Smialowski;Dmitrij Frishman;Stefan Kramer

  • Statistical evaluation of the Predictive Toxicology Challenge 2000-2001.

    Hannu Toivonen;Ashwin Srinivasan;Ross D. King;Stefan Kramer

  • The levelwise version space algorithm and its application to molecular fragment finding

    Luc De Raedt;Stefan Kramer

  • enviPath – The environmental contaminant biotransformation pathway resource

    Jörg Wicker;Tim Lorsbach;Martin Gütlein;Emanuel Schmid

  • Ensembles of nested dichotomies for multi-class problems

    Eibe Frank;Stefan Kramer

  • Prediction of Ordinal Classes Using Regression Trees

    Stefan Kramer;Gerhard Widmer;Bernhard Pfahringer;Michael De Groeve

  • Structural regression trees

    Stefan Kramer

  • Data Quality in Predictive Toxicology: Reproducibility of Rodent Carcinogenicity Experiments

    Eva Gottmann;Stefan Kramer;Bernhard Pfahringer;Christoph Helma

  • Analyzing microarray data using quantitative association rules

    Elisabeth Georgii;Lothar Richter;Ulrich Rückert;Stefan Kramer

  • Collaborative development of predictive toxicology applications

    Barry J. Hardy;Nicki Douglas;Christoph Helma;Micha Rautenberg

  • Feature Construction with Version Spaces for Biochemical Applications

    Stefan Kramer;Luc De Raedt

  • Frequent free tree discovery in graph data

    Ulrich Rückert;Stefan Kramer

  • Ensembles of balanced nested dichotomies for multi-class problems

    Lin Dong;Eibe Frank;Stefan Kramer

  • Prototype-based learning on concept-drifting data streams

    Junming Shao;Zahra Ahmadi;Stefan Kramer

  • Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction

    Kathrin Fenner;Junfeng Gao;Stefan Kramer;Lynda Ellis

  • Experiments in Predicting Biodegradability

    Saso Dzeroski;Hendrik Blockeel;Boris Kompare;Stefan Kramer

  • Statistical evaluation of the predictive toxicology challenge

    Hannu T. T. Toivonen;Ashwin Srinivasan;Ross D. King;Stefan Kramer

Frequent Co-Authors

Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
Luc De Raedt
Luc De Raedt KU Leuven
Eibe Frank
Eibe Frank University of Waikato
Rudolf Zentel
Rudolf Zentel Johannes Gutenberg University of Mainz
Robert Perneczky
Robert Perneczky Ludwig-Maximilians-Universität München
Kristian Kersting
Kristian Kersting Technical University of Darmstadt
Haralambos Sarimveis
Haralambos Sarimveis National Technical University of Athens
Petra Reinke
Petra Reinke Berlin-Brandenburger Centrum für Regenerative Therapien
Ola Spjuth
Ola Spjuth Uppsala University
Lawrence P. Wackett
Lawrence P. Wackett University of Minnesota

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