|DNA-based watermarks using the DNA-Crypt algorithm|
D Heider, A Barnekow
BMC bioinformatics 8 (1), 176, 2007
|GALAD score detects early hepatocellular carcinoma in an international cohort of patients with nonalcoholic steatohepatitis|
J Best, LP Bechmann, JP Sowa, S Sydor, A Dechêne, K Pflanz, S Bedreli, ...
Clinical Gastroenterology and Hepatology 18 (3), 728-735. e4, 2020
|A combination of α-fetoprotein and des-γ-carboxy prothrombin is superior in detection of hepatocellular carcinoma|
JM Ertle, D Heider, M Wichert, B Keller, R Kueper, P Hilgard, G Gerken, ...
Digestion 87 (2), 121-131, 2013
|Impact of working memory load on FMRI resting state pattern in subsequent resting phases|
M Pyka, CF Beckmann, S Schöning, S Hauke, D Heider, H Kugel, V Arolt, ...
PloS one 4 (9), e7198, 2009
|Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research|
F Hufsky, K Lamkiewicz, A Almeida, A Aouacheria, C Arighi, A Bateman, ...
Briefings in bioinformatics 22 (2), 642-663, 2021
|Protistan community analysis: key findings of a large-scale molecular sampling|
L Grossmann, M Jensen, D Heider, S Jost, E Glücksman, H Hartikainen, ...
The ISME journal 10 (9), 2269-2279, 2016
|Bacterial glycosyltransferases: challenges and opportunities of a highly diverse enzyme class toward tailoring natural products|
J Schmid, D Heider, NJ Wendel, N Sperl, V Sieber
Frontiers in microbiology 7, 182, 2016
|The GALAD scoring algorithm based on AFP, AFP-L3, and DCP significantly improves detection of BCLC early stage hepatocellular carcinoma|
J Best, H Bilgi, D Heider, C Schotten, P Manka, S Bedreli, M Gorray, ...
Zeitschrift für Gastroenterologie 54 (12), 1296-1305, 2016
|EFS: an ensemble feature selection tool implemented as R-package and web-application|
U Neumann, N Genze, D Heider
BioData mining 10 (1), 21, 2017
|The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes|
S Spänig, A Emberger-Klein, JP Sowa, A Canbay, K Menrad, D Heider
Artificial Intelligence in Medicine 100, 101706, 2019
|Normal liver enzymes are correlated with severity of metabolic syndrome in a large population based cohort|
J Kälsch, LP Bechmann, D Heider, J Best, P Manka, H Kälsch, JP Sowa, ...
Scientific reports 5, 2015
|DNA watermarks: A proof of concept|
D Heider, A Barnekow
BMC molecular biology 9 (1), 40, 2008
|Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction|
D Heider, R Senge, W Cheng, E Hüllermeier
Bioinformatics 29 (16), 1946-1952, 2013
|Novel algorithm for non-invasive assessment of fibrosis in NAFLD|
JP Sowa, D Heider, LP Bechmann, G Gerken, D Hoffmann, A Canbay
PloS one 8 (4), e62439, 2013
|Encodings and models for antimicrobial peptide classification for multi-resistant pathogens|
S Spänig, D Heider
BioData Mining 12 (1), 7, 2019
|Prediction of co-receptor usage of HIV-1 from genotype|
JN Dybowski*, D Heider*, D Hoffmann
PLoS computational biology 6 (4), e1000743, 2010
|Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective|
A Canbay, J Kälsch, U Neumann, M Rau, S Hohenester, HA Baba, C Rust, ...
PloS one 14 (3), e0214436, 2019
|Non-invasive separation of alcoholic and non-alcoholic liver disease with predictive modeling|
JP Sowa, Ö Atmaca, A Kahraman, M Schlattjan, M Lindner, S Sydor, ...
PLoS One 9 (7), e101444, 2014
|3′-Phosphoadenosine 5′-phosphosulfate (PAPS) synthases, naturally fragile enzymes specifically stabilized by nucleotide binding|
J van den Boom, D Heider, SR Martin, A Pastore, JW Mueller
Journal of Biological Chemistry 287 (21), 17645-17655, 2012
|Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach|
U Neumann, M Riemenschneider, JP Sowa, T Baars, J Kälsch, A Canbay, ...
BioData mining 9 (1), 36, 2016