Our new article has been accepted in NAR Genomics and Bioinformatics: El-Shaikh A, Welzel M, Heider D, Seeger B: High-scale random access on DNA storage systems. NAR Genomics and Bioinformatics 2022, 4(1):lqab126. (Link) Abstract Due to the rapid cost decline of synthesizing and sequencing deoxyribonucleic acid (DNA), high information density, and its durability of up…
Our project Deep Legion: Detection of virulence factor protein domains in Legionella using deep autoencoders has just been granted by the BMBF (031L0288A). The partner in the project is the University of Giessen. Abstract Legionella pneumophila is a Gram-negative bacterium and an important intracellular pathogen. It causes Legionnaires‘ disease, a specific form of pneumonia in…
Our new article has been accepted in BioData Mining: Beinecke J, Heider D: Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making. BioData Mining 2021, 14:49. (Link) Abstract Clinical data sets have very special properties and suffer from many caveats in machine learning. They typically show a high-class imbalance, have…
Our new article has been accepted in NAR Genomics and Bioinformatics: Philipps-Universität Marburg Park Y, Hauschild AC, Heider D: Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing. NAR Genomics and Bioinformatics 2021, 3(4):lqab104. (Link) Abstract Tremendous advances in next-generation sequencing technology have enabled the accumulation of large amounts of omics…
Our new article has been accepted in Computational and Structural Biotechnology Journal (CSBJ): Löchel HF, Heider D: Chaos Game Representation and its applications in Bioinformatics. Computational and Structural Biotechnology Journal 2021, Nov 10. (Link) Abstract Chaos game representation (CGR), a milestone in graphical bioinformatics, has become a powerful tool regarding alignment-free sequence comparison and feature…
Our new article has been published in BMC Medical Informatics and Decision Making: Gandouz M, Holzmann H, Heider D: Machine learning with asymmetric abstention for biomedical decision-making. BMC Medical Informatics and Decision Making 2021, 21:294. (Link) Abstract Machine learning and artificial intelligence have entered biomedical decision-making for diagnostics, prognostics, or therapy recommendations. However, these methods…
Our new article has been accepted in Bioinformatics: Ren Y, Chakraborty T, Doijad S, Falgenhauer L, Falgenhauer J, Goesmann A, Hauschild A-C, Schwengers O, Heider D: Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. Bioinformatics 2021, in press. (Link) Abstract MotivationAntimicrobial resistance (AMR) is one of the biggest global problems threatening human…
Our new article has been accepted in Computational and Structural Biotechnology Journal (CSBJ): Martin R, Dressler H, Hattab G, Hackl T, Fischer MG, Heider D: MOSGA 2: Comparative genomics and validation tools. Computational and Structural Biotechnology Journal. 2021 Sep 28. (Link) Abstract Due to the highly growing number of available genomic information, the need for…
Our new article has been accepted in Computational and Structural Biotechnology Journal (CSBJ): Anžel A, Heider D, Hattab G. The Visual Story of Data Storage: From Storage Properties to User Interfaces. Computational and Structural Biotechnology Journal. 2021 Aug 24. (Link) Abstract About fifty times more data has been created than there are stars in the…
Our new article has been accepted in Environment International: Spänig S, Eick L, Nuy JK, Beisser D, Ip M, Heider D*, Boenigk J*: A multi-omics study on quantifying antimicrobial resistance in European freshwater lakes. Environment International 2021, 157: 106821. *shared last & corresponding authors (Link) Abstract The surveillance of wastewater for the Covid-19 virus during…
