Nikolaus Heinrich

According to our database, Nikolaus Heinrich authored at least 7 papers between 2005 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Efficiency of different measures for defining the applicability domain of classification models.

Waldemar Klingspohn, Miriam Mathea, Antonius ter Laak, Nikolaus Heinrich, Knut Baumann

J. Cheminformatics, 2017

2010

A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test.

Johannes Mohr, Brijnesh J. Jain, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus Obermayer

J. Chem. Inf. Model., 2010

2009

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity.

Katja Hansen, Sebastian Mika, Timon Schroeter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus-Robert Müller

J. Chem. Inf. Model., 2009

2008

A Probabilistic Approach to Classifying Metabolic Stability.

Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak, Philip Lienau, Andreas Reichel, Nikolaus Heinrich, Klaus-Robert Müller

J. Chem. Inf. Model., 2008

2007

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.

Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

J. Chem. Inf. Model., 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller

J. Comput. Aided Mol. Des., 2007

2005

Classifying 'Drug-likeness' with Kernel-Based Learning Methods.

Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich

J. Chem. Inf. Model., 2005