Nikola S. Müller

Orcid: 0000-0001-8659-4548

Affiliations:
  • Max Planck Institute of Biochemistry, Martinsried, Germany
  • Helmholtz Center Munich, Institute of Computational Biology, Neuherberg, Germany
  • Max Planck Institute of Biochemistry, Martinsried, Germany (former)
  • Ludwig Maximilian University of Munich, Germany (PhD 2012)


According to our database1, Nikola S. Müller authored at least 13 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2020
DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning.
PLoS Comput. Biol., 2020

Clustering of mixed-type data considering concept hierarchies: problem specification and algorithm.
Int. J. Data Sci. Anal., 2020

Copy number aberrations from Affymetrix SNP 6.0 genotyping data - how accurate are commonly used prediction approaches?
Briefings Bioinform., 2020

Genome-wide functional association networks: background, data & state-of-the-art resources.
Briefings Bioinform., 2020

2019
Clustering of Mixed-Type Data Considering Concept Hierarchies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
netReg: network-regularized linear models for biological association studies.
Bioinform., 2018

MetaExp: Interactive Explanation and Exploration of Large Knowledge Graphs.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2015
RAMONA: a Web application for gene set analysis on multilevel omics data.
Bioinform., 2015

Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data.
Bioinform., 2015

2012
Finding correlations and independences in omics data.
PhD thesis, 2012

2011
Weighted Graph Compression for Parameter-free Clustering With PaCCo.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010
Robust Second-Order Source Separation Identifies Experimental Responses in Biomedical Imaging.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
CoCo: coding cost for parameter-free outlier detection.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009


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