Follow
Thomas Krause
Title
Cited by
Cited by
Year
Analyzing large microbiome datasets using machine learning and big data
T Krause, JT Wassan, P Mc Kevitt, H Wang, H Zheng, M Hemmje
BioMedInformatics 1 (3), 138-165, 2021
152021
GenDAI–AI-Assisted Laboratory Diagnostics for Genomic Applications
T Krause, E Jolkver, S Bruchhaus, M Kramer, M Hemmje
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
82021
Understanding the role of (advanced) machine learning in metagenomic workflows
T Krause, BGN Andrade, H Afli, H Wang, H Zheng, ML Hemmje
AVI Workshop on Big Data Applications, Italian Workshop on Visualization and …, 2021
62021
A Systematic Approach to Diagnostic Laboratory Software Requirements Analysis
T Krause, E Jolkver, P Mc Kevitt, M Kramer, M Hemmje
Bioengineering 9 (4), 144, 2022
52022
A Conceptual Architecture for AI-based Big Data Analysis and Visualization Supporting Metagenomics Research.
T Reis, T Krause, MX Bornschlegl, ML Hemmje
CERC, 264-272, 2020
52020
A Preliminary Evaluation of “GenDAI”, an AI-Assisted Laboratory Diagnostics Solution for Genomic Applications
T Krause, E Jolkver, S Bruchhaus, P Mc Kevitt, M Kramer, M Hemmje
BioMedInformatics 2 (2), 332-344, 2022
42022
An Event-Driven Architecture for Genomics-Based Diagnostic Data Processing
T Krause, M Zickfeld, S Bruchhaus, T Reis, MX Bornschlegl, P Buono, ...
Applied Biosciences 2 (2), 292-307, 2023
22023
Design and Development of a qPCR-Based Mitochondrial Analysis Workflow for Medical Laboratories
T Krause, L Glau, E Jolkver, F Leonardi-Essmann, PM Kevitt, M Kramer, ...
BioMedInformatics 2 (4), 643-653, 2022
22022
Towards the Improvement of Automated Scientific Document Categorization by Deep Learning
T Krause
arXiv preprint arXiv:1706.05719, 2017
12017
Using Large Language Models for Microbiome Findings Reports in Laboratory Diagnostics
T Krause, L Glau, P Newels, T Reis, MX Bornschlegl, M Kramer, ...
BioMedInformatics 4 (3), 1979-2001, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–10