ARCHIVES 2019

New publication!

Our new article has been accepted in Bioinformatics: Löchel HF, Eger D, Sperlea T, Heider D: Deep Learning on Chaos Game Representation for Proteins. Bioinformatics 2019, in press. Abstract Motivation: Classification of protein sequences is one big task in bioinformatics and has many applications. Different machine learning methods exist and are applied on these problems,…

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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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Data Science Society

Dominik has been elected to the executive board of the GfKl – Data Science Society (http://www.gfkl.org/welcome-2/ ). He will be part of the executive board for the next three years. The Gesellschaft für Klassifikation (GfKl) Data Science Society was founded in 1977 to develop research activities related to the classi­fication and ordering of data, to the…

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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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