Our new article has been accepted in CSBJ: Anžel, A., Heider, D., & Hattab, G. (2022). MOVIS: A multi-omics software solution for multi-modal time-series clustering, embedding, and visualizing tasks. Computational and Structural Biotechnology Journal, 20, 1044–1055. doi:10.1016/j.csbj.2022.02.012. Abstract Thanks to recent advances in sequencing and computational technologies, many researchers with biological and/or medical backgrounds are…
Our new article has been accepted in CSBJ: Ren Y, Chakraborty T, Doijad S, Falgenhauer L, Falgenhauer J, Goesmann A, Schwengers O, Heider D: Multi-label classification for multi-drug resistance prediction of Escherichia coli. Computational and Structural Biotechnology Journal 2022, 20:1264-1270. (Link) Abstract Antimicrobial resistance (AMR) is a global health and development threat. In particular, multi-drug…
Our new article has been accepted in Molecular Autism: Stroth S, Tauscher J, Wolff N, Küpper C, Poustka L, Roepke S, Roessner V, Heider D, Kamp‐Becker I: Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder. Molecular Autism 2022, 13:11. (Link) Abstract Background Although autism spectrum disorder (ASD) is a common…
Our new article has been accepted in Bioinformatics: Hauschild AC, Lemanczyk M, Matschinske J, Frisch T, Zolotareva O, Holzinger A, Baumbach J, Heider D: Federated Random Forests can improve local performance of predictive models for various health care applications. Bioinformatics 2022, btac065 (Link) Abstract MotivationLimited data access has hindered the field of precision medicine from…
Our new article has been accepted in Computers in Biology and Medicine: Beinecke JM, Anders P, Schurrat T, Heider D, Luster M, Librizzi D, Hauschild AC: Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. Computers in Biology and Medicine 2022, 143:105263 (Link) Abstract Background The main screening…
Our new article has been accepted in Metabolites: Manka P, Sydor S, Schänzer-Ocklenburg JM, Brandenburg M, Best J, Vilchez-Vargas R, Link A, Heider D, Brodesser S, Figge A, Jähnert A, Coombes JD, Cubero FJ, Kahraman A, Kim M-S, Kälsch J, Kinner S, Faber KN, Moshage H, Gerken G, Syn W-K, Canbay A, Bechmann LP: A…
Our new article has been accepted in Nucleic Acids Research: Löchel HF, Welzel M, Hattab G, Hauschild AC, Heider D: Fractal construction of constrained code words for DNA storage systems. Nucleic Acids Research 2022, in press (Link) Abstract The use of complex biological molecules to solve computational problems is an emerging field at the interface…
Our new article has been accepted in Genome Biology: Nasirigerdeh R, Torkzadehmahani R, Matschinske J, Frisch T, List M, Späth J, Weiss S, Völker U, Pitkänen E, Heider D, Wenke NK, Kaissis G, Rueckert D, Kacprowski T, Baumbach J: sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies. Genome Biology…
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…
