CATEGORY Publications

CSBJ

New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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New publication!

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…

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