Lars Kaderali

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 12

Top Topics

Mathematical Modeling

Genome Sequences

Multitask Learning

Top Venues

PLoS Comput. Biol.

Publications

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 (2024)
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 (2024)
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)
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)
Philipp Sodmann, Marcus Vollmer, Lars Kaderali
Segment, Perceive and Classify - Multitask Learning of the Electrocardiogram in a Single Neural Network. CinC (2021)
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) (2021)
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)
Carolin Zitzmann, Lars Kaderali, Alan S. Perelson
Mathematical modeling of hepatitis C RNA replication, exosome secretion and virus release. PLoS Comput. Biol. 16 (11) (2020)
Marcus Vollmer, Dominic Bläsing, Lars Kaderali
Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts. CinC (2019)
Marcus Vollmer, Philipp Sodmann, Leonard Caanitz, Neetika Nath, Lars Kaderali
Can Supervised Learning Be Used to Classify Cardiac Rhythms?. CinC (2017)
Sandeep Amberkar, Lars Kaderali
An integrative approach for a network based meta-analysis of viral RNAi screens. Algorithms Mol. Biol. 10 (2015)
Marta R. A. Matos, Bettina Knapp, Lars Kaderali
lpNet: a linear programming approach to reconstruct signal transduction networks. Bioinform. 31 (19) (2015)
Narsis Aftab Kiani, Lars Kaderali
Dynamic Probabilistic Threshold Networks to Infer Signaling Pathways from Time-Course Perturbation Data. BMC Bioinform. 15 (2014)
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) (2014)
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) (2013)
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 (2011)
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)
Nicole Radde, Lars Kaderali
Inference of an oscillating model for the yeast cell cycle. Discret. Appl. Math. 157 (10) (2009)
Lars Kaderali, Eva Dazert, Ulf Zeuge, Michael Frese, Ralf Bartenschlager
Reconstructing signaling pathways from RNAi data using probabilistic Boolean threshold networks. Bioinform. 25 (17) (2009)
Nora Rieber, Bettina Knapp, Roland Eils, Lars Kaderali
RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens. Bioinform. 25 (5) (2009)
Johanna Mazur, Daniel Ritter, Gerhard Reinelt, Lars Kaderali
Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling. BMC Bioinform. 10 (2009)
Nicole Radde, Lars Kaderali
Bayesian Inference of Gene Regulatory Networks Using Gene Expression Time Series Data. BIRD (2007)
Lars Kaderali
Individualized Predictions of Survival Time Distributions from Gene Expression Data Using a Bayesian MCMC Approach. BIRD (2007)
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) (2006)
Markus Leber, Lars Kaderali, Alexander Schönhuth, Rainer Schrader
A fractional programming approach to efficient DNA melting temperature calculation. Bioinform. 21 (10) (2005)
Lars Kaderali, Alexander Schliep
Selecting signature oligonucleotides to identify organisms using DNA arrays. Bioinform. 18 (10) (2002)
Lars Kaderali, Alexander Schliep
A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature. Electron. Notes Discret. Math. 8 (2001)