Anne-Christin Hauschild

Orcid: 0000-0002-7499-4373

According to our database1, Anne-Christin Hauschild authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
The effect of data transformation on low-dimensional integration of single-cell RNA-seq.
BMC Bioinform., December, 2024

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.
IEEE J. Biomed. Health Informatics, April, 2024

Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology.
Briefings Bioinform., January, 2024

CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks.
J. Biomed. Informatics, 2024

Federated Random Forest for Partially Overlapping Clinical Data.
CoRR, 2024

Explainable Artificial Intelligence on Biosignals for Clinical Decision Support.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Bioinform., October, 2023


MirDIP 5.2: tissue context annotation and novel microRNA curation.
Nucleic Acids Res., January, 2023

Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.
Proceedings of the Machine Learning and Knowledge Extraction, 2023

2022
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.
Comput. Biol. Medicine, 2022

Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning.
Bioinform., 2022

Federated Random Forests can improve local performance of predictive models for various healthcare applications.
Bioinform., 2022

2021
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond.
CoRR, 2021

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform., 2021

2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine.
CoRR, 2020

2019
Visualization of Biomedical Networks.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

2018
mirDIP 4.1 - integrative database of human microRNA target predictions.
Nucleic Acids Res., 2018

2017
LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis.
J. Integr. Bioinform., 2017

2016
Machine Learning for In Silico Modeling of Tumor Growth.
Proceedings of the Machine Learning for Health Informatics, 2016

Computational methods for breath metabolomics in clinical diagnostics.
PhD thesis, 2016

2014
Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data.
J. Integr. Bioinform., 2014

On the limits of computational functional genomics for bacterial lifestyle prediction.
Proceedings of the German conference on bioinformatics 2014, September 28, 2014

2013
An Integrative Clinical Database and Diagnostics Platform for Biomarker Identification and Analysis in Ion Mobility Spectra of Human Exhaled Air.
J. Integr. Bioinform., 2013


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