Projects per year
Organisation profile
Organisation profile
Die Bioinformatik Forschungsgruppe der FH OO erforscht und entwickelt Algorithmen zur Analyse von molekularbiologischen Daten. Dazu zählen unter anderem Massenspektrometriedaten, Mikroskopieaufnahmen von Zellen und DNA-Sequenzen. Die dafür entwickelten Programme werden verwendet, um die Ursachen von Erkrankungen zu entdecken sowie entsprechende Behandlungsmöglichkeiten zu entwickeln und um biologische Prozesse zu simulieren.
Fingerprint
Dive into the research topics where Bioinformatics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
SmartBeetle - Smell-based Molecular Artificial intelligence to Fight Bark Beetles
Schaller, S. (PI) & Munk, K. M. (CoI)
Interreg Österreich - Tschechien 2021-2027
01.12.2024 → 30.11.2028
Project: Research Project
-
BF-SigSim - BF-Signaling pathway simulation using white-box modeling for the prediction of gene expression in cells (SigSim)
Vetter, J. (PI), Jacak, J. (CoPI), Schaller, S. (CoPI) & Klein, S. (CoI)
01.01.2024 → 31.12.2025
Project: Research Project
-
TCA-TrainYourBrain - TrainYourBrain Optimizer: Development of an application for the prediction, administration, and preparation of trainings for Alzheimer patients in cooperation with the "MAS Demenzservicestellen" in Upper Austria
Schaller, S. (PI), Kränzl-Nagl, R. S. (CoPI), Schwarz, S. (CoI) & Munk, K. M. (CoI)
01.10.2023 → 31.12.2024
Project: Research Project
-
Data-Based Prediction of the Duration of the Postoperative Stay of Patients
Vetter, J., Strobl, M. T., Buur, L. M., Königswieser, T., Halmerbauer, G. & Winkler, S., Apr 2025, Computer Aided Systems Theory – EUROCAST 2024 - 19th International Conference, 2024, Revised Selected Papers. Quesada-Arencibia, A., Affenzeller, M. & Moreno-Díaz, R. (eds.). Springer, p. 335-344 10 p. (Lecture Notes in Computer Science; vol. 15173 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
-
How to Measure Explainability and Interpretability of Machine Learning Results
Mayrhuber, E. M., Winkler, S. & Burlacu, B., 28 Feb 2025, Genetic Programming Theory and Practice XXI. Springer, p. 357-374 (Genetic and Evolutionary Computation).Research output: Chapter in Book/Report/Conference proceedings › Chapter › peer-review
-
Identification of key genes in signaling pathways using machine learning exemplified on acute myeloid leukemia data
Vetter, J., Klein, S., Schaller, S. & Winkler, S., May 2025.Research output: Contribution to conference › Poster › peer-review
Activities
-
Care4Work. Empirische Befunde und Vorstellung eines Konzepts für innovative, digitale Lösungen zur besseren Vereinbarkeit von Kinderbetreuung und Erwerbstätigkeit im ländlichen Raum.
Kränzl-Nagl, R. S. (Speaker), Schwarz, S. (Speaker), Schaller, S. (Speaker) & Kranewitter, M. (Speaker)
4 Nov 2024Activity: Talk or presentation › Oral presentation
-
ISQua's 39th International Conference
Hochstrasser, T. (Participant), Halmerbauer, G. (Participant), Strobl, M. T. (Participant) & Winkler, S. (Participant)
30 Aug 2023Activity: Participating in or organising an event › Participating in a conference, workshop, ...
-
Prädiktion der Verweildauer mit prä- und postoperativen Daten für 27 medizinische Fallkategorien
Vetter, J. (Speaker), Strobl, M. T. (Speaker), Halmerbauer, G. (Speaker), Hochstrasser, T. (Speaker), Guttmann, J. (Speaker), Königswieser, T. (Speaker) & Winkler, S. (Speaker)
11 May 2023Activity: Talk or presentation › Oral presentation