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- 2024
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Mark
AlphaML : A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
- Contribution to journal › Article
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Mark
Exploring different methodological approaches to unlock paleobiodiversity in peat profiles using ancient DNA
- Contribution to journal › Article
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Mark
WOMBAT-P : Benchmarking Label-Free Proteomics Data Analysis Workflows
- Contribution to journal › Article
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Mark
Machine Learning Models for Prediction of Diabetic Microvascular Complications
- Contribution to journal › Article
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Mark
An Enhanced Genetic Algorithm with Clustering for Optimizing Mobile Stroke Unit Deployment
(2024) 24th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2024 In 2024 IEEE 24th International Conference on Bioinformatics and Bioengineering, BIBE 2024
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
How to improve data quality in dog eye tracking
- Contribution to journal › Article
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Mark
Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
- Contribution to journal › Article
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Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
(2023)
- Working paper/Preprint › Preprint in preprint archive
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Mark
Fetal programming and parent-of-origin effects of type 2 diabetes and insulin secretion
(2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
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Mark
805P Tumor-informed ctDNA detection as a predictive marker for postoperative residual disease in epithelial ovarian cancer: A feasibility study
- Contribution to journal › Published meeting abstract
