Markus Kalisch

11 papers A 3Journal 8
YearRankTypeTitle / Venue / Authors
2020 J jnl
Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat.
Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann
2020 J jnl
Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software.
Comput. Stat.
Claude Renaux, Laura Buzdugan, Markus Kalisch, Peter Bühlmann
2017 J jnl
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs.
J. Mach. Learn. Res.
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2017 A conf
Interpreting and Using CPDAGs With Background Knowledge.
UAI
Emilija Perkovic, Markus Kalisch, Marloes H. Maathuis
2016 J jnl
Assessing statistical significance in multivariable genome wide association analysis.
Bioinform.
Laura Buzdugan, Markus Kalisch, Arcadi Navarro, Daniel Schunk, Ernst Fehr, Peter Bühlmann
2015 A conf
A Complete Generalized Adjustment Criterion.
UAI
Emilija Perkovic, Johannes Textor, Markus Kalisch, Marloes H. Maathuis
2011 J jnl
Learning high-dimensional DAGs with latent and selection variables
CoRR
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
2011 A conf
Learning high-dimensional DAGs with latent and selection variables (Abstract).
UAI
Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson
2008 J jnl
Annotating novel genes by integrating synthetic lethals and genomic information.
BMC Syst. Biol.
Daniel Schöner, Markus Kalisch, Christian Leisner, Lukas Meier, Marc Sohrmann, Mahamadou Faty, Yves Barral, Matthias Peter, Wilhelm Gruissem, Peter Bühlmann
2008 J jnl
Robustified L
Comput. Stat. Data Anal.
Roman Werner Lutz, Markus Kalisch, Peter Bühlmann
2007 J jnl
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm.
J. Mach. Learn. Res.
Markus Kalisch, Peter Bühlmann