CATEGORY Publications

NETTAB/BBCC 2019

Dominik is member of the program commitee of the JOINT NETTAB/BBCC 2019 MEETING which will take place November 11-13, 2019 at the Fisciano Campus, University of Salerno, Italy http://www.nettab.org/2019/ https://www.bbcc-meetings.it/ DEADLINE FOR SUBMISSION OF ABSTRACTS FOR ORAL COMMUNICATIONS: Sunday June 30, 2019 TOPICS Oral presentations and posters are particularly encouraged for the usual topics of…

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ISMB 2019

Anne-Christins abstract has been accepted at the ISMB 2019 and she will present a poster on “ The Importance of Privacy Preserving Machine Learning in Psychiatric Research„ Looking forward to ISMB 2019 in Basel!

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Talks at GCB 2019

Franzi’s and Theo’s abstracts have been accepted at the GCB 2019 and they will give talks on Deep Learning in Chaos Game Representation for Proteins and On the semantics of unknown DNA motifs – a machine learning approach respectively. Looking forward to GCB 2019 in Heidelberg!

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New publication!

Our paper has been accepted in PLoS One: Canbay A, Kälsch J, Neumann U, Rau M, Hohenester S, Strucksberg K-H, Baba HA, Rust C, Bantel H, Geier A, Heider D, Sowa J-P: Non-invasive assessment of NAFLD as systemic disease – a machine learning perspective. PLoS One 2019, 14(3):e0214436. Abstract Background & aims Current non-invasive scores…

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New publication!

Our paper has been accepted in BioData Mining: Spänig S, Heider D: Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. BioData Mining 2019, 12:7. (Link) Abstract Antimicrobial peptides (AMPs) are part of the inherent immune system. In fact, they occur in almost all organisms including, e.g., plants, animals, and humans. Remarkably, they show…

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Talks at ECDA

Marta’s, Sebastian’s and Theo’s abstracts have been accepted at the ECDA 2019 and they will give talks on A novel privacy-preserving software framework for federated machine learning in clinical settings and A comparative study on peptide encodings for biomedical classification and Illuminating interactions in microbial lake ecology using General Learning Chain Ensembles respectively.

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New publication!

Our new article has been accepted in BMC Bioinformatics: Sperlea T, Füser S, Boenigk J, Heider D: SEDE-GPS: socio-economic data enrichment based on GPS information. BMC Bioinformatics 2018, 19(Suppl 15):440. (Link) Abstract Background Microbes are essentail components of all ecosystems because they drive many biochemical processes and act as primary producers. In freshwater ecosystems, the…

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