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Jörg Rahnenführer
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2020 – today
- 2023
- [j35]Leonie Schürmeyer, Kirsten Schorning
, Jörg Rahnenführer
:
Designs for the simultaneous inference of concentration-response curves. BMC Bioinform. 24(1): 393 (2023) - 2022
- [j34]Andrea Bommert
, Thomas Welchowski
, Matthias Schmid
, Jörg Rahnenführer
:
Benchmark of filter methods for feature selection in high-dimensional gene expression survival data. Briefings Bioinform. 23(1) (2022) - [j33]Katrin Madjar
, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer:
Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 23(1): 32 (2022) - [p2]Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Editorial. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 1-2 - [p1]Jörg Rahnenführer, Michel Lang
, Jakob Richter:
Survival Prediction and Model Selection. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 71-84 - [e1]Katharina Morik, Jörg Rahnenführer
, Christian Wietfeld
:
Machine Learning under Resource Constraints - Volume 3: Applications. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078597-5 [contents] - 2021
- [j32]Katrin Madjar
, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer
:
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinform. 22(1): 586 (2021) - [j31]Katrin Madjar
, Jörg Rahnenführer
:
Weighted Cox regression for the prediction of heterogeneous patient subgroups. BMC Medical Informatics Decis. Mak. 21(1): 342 (2021) - [j30]Junjie Shi
, Jiang Bian, Jakob Richter
, Kuan-Hsun Chen
, Jörg Rahnenführer
, Haoyi Xiong, Jian-Jia Chen
:
MODES: model-based optimization on distributed embedded systems. Mach. Learn. 110(6): 1527-1547 (2021) - [j29]Rudolf Jagdhuber
, Jörg Rahnenführer
:
Implications on Feature Detection When Using the Benefit-Cost Ratio. SN Comput. Sci. 2(4): 316 (2021) - [c10]Jonas Rieger
, Carsten Jentsch
, Jörg Rahnenführer
:
RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. EMNLP (Findings) 2021: 2337-2347 - [c9]Andrea Bommert
, Jörg Rahnenführer
, Michel Lang
:
Employing an Adjusted Stability Measure for Multi-criteria Model Fitting on Data Sets with Similar Features. LOD 2021: 81-92 - [i10]Andrea Bommert, Jörg Rahnenführer, Michel Lang:
Employing an Adjusted Stability Measure for Multi-Criteria Model Fitting on Data Sets with Similar Features. CoRR abs/2106.08105 (2021) - 2020
- [j28]Rudolf Jagdhuber
, Michel Lang
, Arnulf Stenzl, Jochen Neuhaus, Jörg Rahnenführer
:
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms. BMC Bioinform. 21(1): 26 (2020) - [j27]Andrea Bommert
, Xudong Sun, Bernd Bischl, Jörg Rahnenführer
, Michel Lang
:
Benchmark for filter methods for feature selection in high-dimensional classification data. Comput. Stat. Data Anal. 143 (2020) - [c8]Jakob Richter, Junjie Shi, Jian-Jia Chen
, Jörg Rahnenführer, Michel Lang
:
Model-based optimization with concept drifts. GECCO 2020: 877-885 - [c7]Andrea Bommert
, Jörg Rahnenführer
:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. LOD (1) 2020: 203-214 - [c6]Jonas Rieger
, Jörg Rahnenführer
, Carsten Jentsch
:
Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. NLDB 2020: 118-125 - [c5]Jonas Rieger
, Carsten Jentsch
, Jörg Rahnenführer
:
Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops 2020: 385-396 - [i9]Jonas Rieger
, Lars Koppers
, Carsten Jentsch, Jörg Rahnenführer:
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. CoRR abs/2003.04980 (2020) - [i8]Rudolf Jagdhuber, Jörg Rahnenführer:
Implications on Feature Detection when using the Benefit-Cost Ratio. CoRR abs/2008.05163 (2020) - [i7]Rudolf Jagdhuber, Michel Lang
, Jörg Rahnenführer:
Feature Selection Methods for Cost-Constrained Classification in Random Forests. CoRR abs/2008.06298 (2020) - [i6]Andrea Bommert, Jörg Rahnenführer:
Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features. CoRR abs/2009.12075 (2020)
2010 – 2019
- 2019
- [j26]Jakob Richter
, Katrin Madjar
, Jörg Rahnenführer
:
Model-based optimization of subgroup weights for survival analysis. Bioinform. 35(14): i484-i491 (2019) - [c4]Xudong Sun, Andrea Bommert
, Florian Pfisterer, Jörg Rahnenführer
, Michel Lang
, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions. IntelliSys (1) 2019: 629-647 - [i5]Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl:
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions. CoRR abs/1902.08999 (2019) - 2017
- [j25]Vera Rieder
, Bernhard Blank-Landeshammer
, Marleen Stuhr
, Tilman Schell
, Karsten Biß, Laxmikanth Kollipara, Achim Meyer
, Markus Pfenninger, Hildegard Westphal
, Albert Sickmann
, Jörg Rahnenführer
:
DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs. BMC Bioinform. 18(1): 148:1-148:12 (2017) - [j24]Katrin Hainke, Sebastian Szugat, Roland Fried, Jörg Rahnenführer
:
Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV. BMC Bioinform. 18(1): 358 (2017) - [j23]Andrea Bommert
, Jörg Rahnenführer
, Michel Lang
:
A Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data. Comput. Math. Methods Medicine 2017: 7907163:1-7907163:18 (2017) - [c3]Helena Kotthaus, Jakob Richter
, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer
, Michel Lang
:
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION 2017: 180-195 - 2016
- [j22]Simona Constantinescu, Ewa Szczurek
, Pejman Mohammadi
, Jörg Rahnenführer
, Niko Beerenwinkel:
TiMEx: a waiting time model for mutually exclusive cancer alterations. Bioinform. 32(7): 968-975 (2016) - [c2]Jakob Richter
, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer
, Michel Lang
:
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. LION 2016: 267-273 - [i4]Elena Erdmann, Karin Boczek
, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting:
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR abs/1606.05110 (2016) - 2015
- [i3]Martin Eisenacher
, Jörg Rahnenführer
, Axel Mosig, Sven Rahmann
:
Poster abstracts of GCB 2015. PeerJ Prepr. 3: e1350 (2015) - [i2]Axel Mosig, Jörg Rahnenführer, Martin Eisenacher, Sven Rahmann
:
Invited presentations, junior research groups and research highlights at GCB 2015. PeerJ Prepr. 3: e1352 (2015) - 2011
- [j21]Kai Kammers, Michel Lang
, Jan G. Hengstler
, Marcus Schmidt, Jörg Rahnenführer
:
Survival models with preclustered gene groups as covariates. BMC Bioinform. 12: 478 (2011) - [j20]Marco Grzegorczyk, Dirk Husmeier
, Jörg Rahnenführer
:
Modelling non-stationary dynamic gene regulatory processes with the BGM model. Comput. Stat. 26(2): 199-218 (2011) - 2010
- [j19]Marco Grzegorczyk, Dirk Husmeier
, Jörg Rahnenführer
:
Modelling Nonstationary Gene Regulatory Processes. Adv. Bioinformatics 2010: 749848:1-749848:17 (2010) - [j18]Sebastian Briesemeister, Jörg Rahnenführer
, Oliver Kohlbacher
:
Going from where to why - interpretable prediction of protein subcellular localization. Bioinform. 26(9): 1232-1238 (2010) - [j17]Birte Hellwig, Jan G. Hengstler
, Marcus Schmidt, Mathias C. Gehrmann, Wiebke Schormann, Jörg Rahnenführer
:
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes. BMC Bioinform. 11: 276 (2010) - [j16]Sebastian Briesemeister, Jörg Rahnenführer
, Oliver Kohlbacher
:
YLoc - an interpretable web server for predicting subcellular localization. Nucleic Acids Res. 38(Web-Server-Issue): 497-502 (2010)
2000 – 2009
- 2009
- [j15]Katharina Podwojski, Arno Fritsch, Daniel C. Chamrad, Wolfgang Paul, Barbara Sitek, Kai Stühler, Petra Mutzel
, Christian Stephan, Helmut E. Meyer, Wolfgang Urfer, Katja Ickstadt, Jörg Rahnenführer
:
Retention time alignment algorithms for LC/MS data must consider non-linear shifts. Bioinform. 25(6): 758-764 (2009) - 2008
- [j14]Jasmina Bogojeska, Adrian Alexa, André Altmann
, Thomas Lengauer, Jörg Rahnenführer
:
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinform. 24(20): 2391-2392 (2008) - [j13]Jasmina Bogojeska
, Thomas Lengauer, Jörg Rahnenführer
:
Stability analysis of mixtures of mutagenetic trees. BMC Bioinform. 9 (2008) - [i1]Andreas Schlicker, Fidel Ramírez, Jörg Rahnenführer, Carola Huthmacher, Alejandro Pironti, Francisco S. Domingues, Thomas Lengauer, Mario Albrecht:
Applications of semantic similarity measures. Ontologies and Text Mining for Life Sciences 2008 - 2007
- [j12]Francisco S. Domingues
, Jörg Rahnenführer
, Thomas Lengauer:
Conformational analysis of alternative protein structures. Bioinform. 23(23): 3131-3138 (2007) - 2006
- [j11]Adrian Alexa, Jörg Rahnenführer
, Thomas Lengauer:
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure. Bioinform. 22(13): 1600-1607 (2006) - [j10]Andreas Schlicker
, Francisco S. Domingues
, Jörg Rahnenführer
, Thomas Lengauer:
A new measure for functional similarity of gene products based on Gene Ontology. BMC Bioinform. 7: 302 (2006) - 2005
- [j9]Niko Beerenwinkel, Jörg Rahnenführer
, Rolf Kaiser, Daniel Hoffmann
, Joachim Selbig, Thomas Lengauer:
Mtreemix: a software package for learning and using mixture models of mutagenetic trees. Bioinform. 21(9): 2106-2107 (2005) - [j8]Jörg Rahnenführer
, Niko Beerenwinkel, Wolfgang A. Schulz
, Christian Hartmann
, Andreas von Deimling
, Bernd Wullich, Thomas Lengauer:
Estimating cancer survival and clinical outcome based on genetic tumor progression scores. Bioinform. 21(10): 2438-2446 (2005) - [j7]Niko Beerenwinkel, Tobias Sing, Thomas Lengauer, Jörg Rahnenführer
, Kirsten Roomp, Igor Savenkov, Roman Fischer, Daniel Hoffmann
, Joachim Selbig, Klaus Korn
, Hauke Walter, Thomas Berg
, Patrick Braun, Gerd Fätkenheuer, Mark Oette, Jürgen K. Rockstroh, Bernd Kupfer, Rolf Kaiser, Martin Däumer:
Computational methods for the design of effective therapies against drug resistant HIV strains. Bioinform. 21(21): 3943-3950 (2005) - [j6]Andreas Hahn, Jörg Rahnenführer
, Priti Talwar
, Thomas Lengauer:
Confirmation of human protein interaction data by human expression data. BMC Bioinform. 6: 112 (2005) - [j5]Niko Beerenwinkel, Jörg Rahnenführer
, Martin Däumer, Daniel Hoffmann
, Rolf Kaiser, Joachim Selbig, Thomas Lengauer:
Learning Multiple Evolutionary Pathways from Cross-Sectional Data. J. Comput. Biol. 12(6): 584-598 (2005) - 2004
- [j4]Ingolf Sommer, Jörg Rahnenführer
, Francisco S. Domingues
, Ulrik de Lichtenberg, Thomas Lengauer:
Predicting protein structure classes from function predictions. Bioinform. 20(5): 770-776 (2004) - [j3]Jörg Rahnenführer
, Daniel Bozinov:
Hybrid clustering for microarray image analysis combining intensity and shape features. BMC Bioinform. 5: 47 (2004) - [c1]Niko Beerenwinkel, Jörg Rahnenführer
, Martin Däumer, Daniel Hoffmann, Rolf Kaiser, Joachim Selbig, Thomas Lengauer:
Learning multiple evolutionary pathways from cross-sectional data. RECOMB 2004: 36-44 - 2002
- [j2]Daniel Bozinov, Jörg Rahnenführer
:
Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering. Bioinform. 18(5): 747-756 (2002) - [j1]Jörg Rahnenführer
:
Multivariate permutation tests for the k-sample problem with clustered data. Comput. Stat. 17(2): 165-184 (2002)
Coauthor Index
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