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Journal Articles
- 2023
[j20]Carolin Zitzmann, Christopher Dächert
, Bianca Schmid, Hilde van der Schaar, Martijn van Hemert, Alan S. Perelson, Frank J. M. van Kuppeveld, Ralf Bartenschlager, Marco Binder, Lars Kaderali:
Mathematical modeling of plus-strand RNA virus replication to identify broad-spectrum antiviral treatment strategies. PLoS Comput. Biol. 19(4) (2023)- 2021
- [j19]Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Renó Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria Jesus Martin, Roman Martin, Julian O. Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios, Anton I. Petrov, Guillermo Rangel-Pineros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna J. Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz:
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings Bioinform. 22(2): 642-663 (2021) - [j18]Ann-Kristin Becker, Marcus Dörr, Stephan B. Felix, Fabian Frost, Hans Jörgen Grabe, Markus M. Lerch, Matthias Nauck, Uwe Völker, Henry Völzke, Lars Kaderali:
From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j17]Simon Dirmeier, Christopher Dächert, Martijn van Hemert, Ali Tas, Natacha S. Ogando, Frank J. M. van Kuppeveld, Ralf Bartenschlager, Lars Kaderali, Marco Binder, Niko Beerenwinkel:
Host factor prioritization for pan-viral genetic perturbation screens using random intercept models and network propagation. PLoS Comput. Biol. 16(2) (2020) - [j16]Carolin Zitzmann, Lars Kaderali, Alan S. Perelson:
Mathematical modeling of hepatitis C RNA replication, exosome secretion and virus release. PLoS Comput. Biol. 16(11): 1008421 (2020) - 2015
- [j15]Sandeep Amberkar, Lars Kaderali:
An integrative approach for a network based meta-analysis of viral RNAi screens. Algorithms Mol. Biol. 10: 6 (2015) - [j14]Marta R. A. Matos, Bettina Knapp, Lars Kaderali:
lpNet: a linear programming approach to reconstruct signal transduction networks. Bioinform. 31(19): 3231-3233 (2015) - 2014
- [j13]Narsis Aftab Kiani, Lars Kaderali:
Dynamic Probabilistic Threshold Networks to Infer Signaling Pathways from Time-Course Perturbation Data. BMC Bioinform. 15: 250 (2014) - [j12]Nissan Levtov, Sandeep Amberkar, Zakharia M. Frenkel, Lars Kaderali, Zeev Volkovich:
Detecting Non-Uniform Clusters in Large-Scale Interaction Graphs. J. Comput. Biol. 21(2): 173-183 (2014) - 2013
- [j11]Ujjwal Maulik, Anirban Mukhopadhyay, Malay Bhattacharyya, Lars Kaderali, Benedikt Brors, Sanghamitra Bandyopadhyay, Roland Eils:
Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 423-435 (2013) - 2011
- [j10]Bettina Knapp, Ilka Rebhan, Anil Kumar, Petr Matula, Narsis Aftab Kiani, Marco Binder, Holger Erfle, Karl Rohr, Roland Eils, Ralf Bartenschlager, Lars Kaderali:
Normalizing for individual cell population context in the analysis of high-content cellular screens. BMC Bioinform. 12: 485 (2011) - 2010
- [j9]Apichat Suratanee, Ilka Rebhan, Petr Matula, Anil Kumar, Lars Kaderali, Karl Rohr, Ralf Bartenschlager, Roland Eils, Rainer König:
Detecting host factors involved in virus infection by observing the clustering of infected cells in siRNA screening images. Bioinform. 26(18) (2010) - 2009
- [j8]Nora Rieber, Bettina Knapp, Roland Eils, Lars Kaderali:
RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens. Bioinform. 25(5): 678-679 (2009) - [j7]Lars Kaderali, Eva Dazert, Ulf Zeuge, Michael Frese, Ralf Bartenschlager:
Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks. Bioinform. 25(17): 2229-2235 (2009) - [j6]Johanna Mazur, Daniel Ritter, Gerhard Reinelt, Lars Kaderali:
Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling. BMC Bioinform. 10: 448 (2009) - [j5]Nicole Radde, Lars Kaderali:
Inference of an oscillating model for the yeast cell cycle. Discret. Appl. Math. 157(10): 2285-2295 (2009) - 2006
- [j4]Lars Kaderali, Thomas Zander, Ulrich Faigle, Jürgen Wolf, Joachim L. Schultze, Rainer Schrader:
CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data. Bioinform. 22(12): 1495-1502 (2006) - 2005
- [j3]Markus Leber, Lars Kaderali, Alexander Schönhuth, Rainer Schrader:
A fractional programming approach to efficient DNA melting temperature calculation. Bioinform. 21(10): 2375-2382 (2005) - 2002
- [j2]Lars Kaderali, Alexander Schliep:
Selecting signature oligonucleotides to identify organisms using DNA arrays. Bioinform. 18(10): 1340-1349 (2002) - 2001
- [j1]Lars Kaderali, Alexander Schliep:
A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature. Electron. Notes Discret. Math. 8: 46-49 (2001)
Conference and Workshop Papers
- 2024
- [c6]Aya Messai, Ahlem Drif, Amel Ouyahia, Meriem Guechi, Mounira Rais, Lars Kaderali, Hocine Cherifi:
Transparent AI Models for Meningococcal Meningitis Diagnosis: Evaluating Interpretability and Performance Metrics. IS 2024: 1-8 - 2021
- [c5]Philipp Sodmann, Marcus Vollmer, Lars Kaderali:
Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network. CinC 2021: 1-4 - 2019
- [c4]Marcus Vollmer, Dominic Bläsing, Lars Kaderali:
Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts. CinC 2019: 1-4 - 2017
- [c3]Marcus Vollmer, Philipp Sodmann, Leonard Caanitz, Neetika Nath, Lars Kaderali:
Can Supervised Learning Be Used to Classify Cardiac Rhythms?. CinC 2017 - 2007
- [c2]Nicole Radde, Lars Kaderali:
Bayesian Inference of Gene Regulatory Networks Using Gene Expression Time Series Data. BIRD 2007: 1-15 - [c1]Lars Kaderali:
Individualized Predictions of Survival Time Distributions from Gene Expression Data Using a Bayesian MCMC Approach. BIRD 2007: 77-89
Parts in Books or Collections
- 2008
- [p1]Lars Kaderali, Nicole Radde:
Inferring Gene Regulatory Networks from Expression Data. Computational Intelligence in Bioinformatics 2008: 33-74
Informal and Other Publications
- 2024
- [i2]Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt:
Federated Foundation Model for Cardiac CT Imaging. CoRR abs/2407.07557 (2024) - [i1]Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt:
Multi-Modal Dataset Creation for Federated~Learning with DICOM Structured Reports. CoRR abs/2407.09064 (2024)
Coauthor Index
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