2020
Sepehr Golriz Khatami, Christine Robinson, Colin Birkenbihl, Daniel Domingo-Fernández, Charles Tapley Hoyt, Martin Hofmann-Apitius:
Challenges of Integrative Disease Modeling in Alzheimer's Disease
Raza-Ur Rahman, Vikas Bansal, Maksims Fiosins, Anna-Maria Liebhoff, Ashish Rajput, Abdul Sattar, Daniel Sumner Magruder, Sumit Madan, Ting Sun, Abhivyakti Gautam, Sven Heins, Timur Liwinski, Jörn Bethune, Claudia Trenkwalder, Juliane Fluck, Brit Mollenhauer, Stefan Bonn:
SEAweb: The small RNA Expression Atlas web application
Farah Humayun, Daniel Domingo-Fernández, Paul George, Ajay Abisheck, Marie-Thérèse Hopp, Benjamin Syllwasschy, Milena Detzel, Charles Tapley Hoyt, Martin Hofmann-Apitius, Diana Imhof:
A Computational Approach for Mapping Heme Biology in the Context of Hemolytic Disorders
Anne Fröhlich, Sophia Loick, Emma Grace Bawden, Simon Fietz, Jörn Dietrich, Eric Diekmann, Gonzalo Saavedra, Holger Fröhlich, Dennis Niebel, Judith Sirokay, Romina Zarbl, Gerrit H. Gielen, Glen Kristiansen, Friedrich Bootz, Jennifer Landsberg, Dimo Dietrich:
Comprehensive analysis of tumor necrosis factor receptor TNFRSF9 (4-1BB) DNA methylation with regard to molecular and clinicopathological features
Sepehr Golriz Khatami, Sarah Mubeen, Martin Hofmann-Apitius:
Data science in neurodegenerative disease: its capabilities, limitations, and perspectives
Amin Lemsara, Salima Ouadfel, Holger Fröhlich:
PathME: Pathway based Multi-modal Sparse Autoencoders for Clustering of Patient-Level Multi-Omics Data
Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Holger Fröhlich:
Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study Data
Wolfgang Ziegler:
A Landscape Analysis of Standardisation in the Field of Artificial Intelligence
Mohammad Asif Emon; Daniel Domingo-Fernàndez; Martin Hofmann-Apitius:
PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures
Meemansa Sood, Akrishta Sahay, Reagon Karki, Mohammad Asif Emon, Henri Vrooman, Martin Hofmann-Apitius, Holger Fröhlich:
Realistic Simulation of Virtual Multi-Scale, Multi-Modal Patient Trajectories using Bayesian Networks and Sparse Autoencoders
Colin Birkenbihl, Mohammad Asif Emon, Henri Vrooman, Sarah Westwood, Simon Lovestone, On behalf of the AddNeuroMed Consortium, Martin Hofmann-Apitius, Holger Fröhlich & Alzheimer’s Disease Neuroimaging Initiative:
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Sara Mora, Sumit Madan, Stephan Gebel, Mauro Giacomini:
Proposal of an Architecture for Terminology Management in a Research Project
Özlem Muslu, Charles Tapley Hoyt, Mauricio Pio De Lacerda, Martin Hofmann-Apitius, Holger Fröhlich:
GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning
Elisha Goldstein, Kristina Yeghiazaryan, Ashar Ahmad, Frank A. Giordano, Holger Fröhlich, Olga Golubnitschaja:
Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies - Unsupervised machine learning and 3PM recommendations
Reagon Karki, Sumit Madan, Yojana Gadiya, Daniel Domingo-Fernàndez, Alpha Tom Kodamullil, Martin Hofmann-Apitius:
Data-driven modeling of knowledge assemblies in understanding comorbidity between Type 2 Diabetes Mellitus and Alzheimer’s Disease
Daniel Domingo-Fernández, Shounak Baksi, Bruce Schultz, Yojana Gadiya, Reagon Karki, Tamara Raschka, Christian Ebeling, Martin Hofmann-Apitius, Alpha Tom Kodamullil:
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology
Lisa Langnickel, Roman Baum, Gabriele Wollnik-Korn, Brigitte Fischer-Wagener, Sumit Madan, Juliane Fluck:
The future of German MeSH: a new semi-automatic translation process and new services for search and annotation
Tobias Newmiwaka, Benjamin Engelhardt, Philipp Wendland, Dominik Kahl, Holger Fröhlich, Maik Kschischo:
SEEDS: Data driven inference of structural model errors and unknown inputs for dynamic systems biology
Laurèl Rauschenbach, Anja Wieland, Roman Reinartz, Sied Kebir, Andreas Till, Marvin Darkwah Oppong, Celia Dobersalske, Vivien Ullrich, Ashar Ahmad, Ramazan Jabbarli, Daniela Pierscianek, Holger Fröhlich, Matthias Simon, Oliver Brüstle, Ulrich Sure, Martin Glas, Björn Scheffler:
Drug repositioning of antiretroviral ritonavir for combinatorial therapy in glioblastoma
Colin Birkenbihl, Sarah Westwood, Eric Westman, Liu Shi, Alejo Nevado-Holgado, Simon Lovestone, Martin Hofmann-Apitius:
ANMerge: A comprehensive and accessible Alzheimer's disease patient-level dataset
Mohammad Asif Emon, Ashley Heinson, Ping Wu, Daniel Domingo-Fernandez, Meemansa Sood, Henri Vrooman, Jean-Christophe Corvol, Phil Scordis, Martin Hofmann-Apitius, Holger Fröhlich:
Clustering of Alzheimer’s and Parkinson’s Disease Based on Genetic Burden of Shared Molecular Mechanisms
Lisa Langnickel, Roman Baum, Gabriele Wollnik-Korn, Brigitte Fischer-Wagener, Sumit Madan, Juliane Fluck:
The future of German MeSH: a new semi-automatic translation process and new services for search and annotation
Frederic Brosseron, Carl-Christian Kolbe, Francesco Santarelli, Stephanie Carvalho, Anna Antonell, Sergio Castro-Gomez, Pawel Tacik Aishwarya, Alex Namasivayam, Graziella Mangone, Reinhard Schneider, Eicke Latz, Ullrich Wüllner, Per Svenningsson, Raquel Sánchez-Valle, José Luis Molinuevo, Jean-Christophe Corvol, Michael T.Heneka, on behalf of the AETIONOMY study group (…Martin Hofmann-Apitius (…), Stephan Springstubbe (...), Holger Fröhlich (…)):
Multicenter Alzheimer's and Parkinson's disease immune biomarker verification study Multicenter Alzheimer's and Parkinson's disease immune biomarker verification study
Anatolij Kunin, Nafiseh Sargheini, Colin Birkenbihl, Natalia Moiseeva, Holger Fröhlich, Olga Golubnitschaja:
Voice perturbations under the stress overload in young individuals: phenotyping and suboptimal health as predictors for cascading pathologies
Daniel Rivas-Barragan, Sarah Mubeen, Francesc Guim Bernat, Martin Hofmann-Apitius, Daniel Domingo-Fernández:
Drug2ways: Reasoning over causal paths in biological networks for drug discovery
Colin Birkenbihl, Yasamin Salimi, Daniel Domingo-Fernandez, Simon Lovestone on behalf of the AddNeuroMed consortium, Holger Fröhlich, Martin Hofmann-Apitius, and the Japanese Alzheimer's Disease Neuroimaging Initiative, and the Alzheimer's Disease Neuroimaging Initiative:
Evaluating the Alzheimer's Disease Data Landscape
Roman Li, Anze Zupanic, Marja Talikka, Vincenzo Belcastro, Sumit Madan, Jens Dörpinghaus, Colette vom Berg, Justyna Szostak, Florian Martin, Manuel C. Peitsch, Julia Hoeng:
Systems toxicology approach for testing chemical cardiotoxicity in larval zebrafish
Josep Marín-Llaó, Sarah Mubeen, Alexandre Perera-Lluna, Martin Hofmann-Apitius, Sergio Picart-Armada, Daniel Domingo-Fernández:
MultiPaths: a python framework for analyzing multi-layer biological networks using diffusion algorithms
Astghik Sargsyan, Alpha Tom Kodamullil, Shounak Baksi, Johannes Darms, Sumit Madan, Stephan Gebel, Oliver Keminer, Geena Mariya Jose, Helena Balabin, Lauren Nicole DeLong, Manfred Kohler, Marc Jacobs, Martin Hofmann-Apitius:
The COVID-19 Ontology