Abel, Julia

M.Sc.

Positionen

Mitarbeiterin, Fachgruppe Mathematik, Fakultät Angewandte Computer- und Biowissenschaften

Forschungsschwerpunkt

Angewandte Informatik Forschungsschwerpunkt

ausgewählte Veröffentlichungen

Journalartikel
- Alignment-free sequence comparison: A systematic survey from a machine learning perspective. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 119-135. 2022
- The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers. Entropy. 1357. 2021
- Detection of native and mirror protein structures based on Ramachandran plot analysis by interpretable machine learning models. bioRxiv. 2020

Präsentationen

Konferenzposter
- Enforcing sparseness in biologically informed shallow networks for improved interpretability, Präsentatorin, während 2nd AI and Biology 2026
- Interpretable Machine Learning for the Prediction of Pharmacological Properties of Small Molecules, Präsentatorin, während German Conference on Bioinformatics 2022 2022
Vortrag
- On the search for useful features – for Machine Learning, Sprecherin, während International Colloquium Lessach (ICOLE) 2022
- Prediction of ADMET properties of molecules using LVQ variants, Sprecherin, während 6th International Workshop on BioInformatics meets Machine Learning (Workshop) 2022
- How to knit - with data, Sprecherin, während International Colloquium Lessach (ICOLE) 2021
- Prediction of quadruplex secondary structure topologies by means of sequence mutual information functions and interpretable machine learning models, Sprecherin, während 36th German Conference on Bioinformatics 2021

hat Teilnehmerrolle

ORCID iD

https://orcid.org/0000-0002-2659-0403 (bestätigt)

vollständiger Name

Julia Abel

zugehörig zur Einrichtung

6-201

KoautorInnen-Netzwerk