Fiona C. Burkhard

Machine Learning-based Classification of transcriptome Signatures of non-ulcerative Bladder Pain Syndrome

This paper uses machine learning to identify a three-gene mRNA signature that distinguishes non-ulcerative bladder pain syndrome from controls and detrusor overactivity patients.

Machine Learning Made Easy (MLme): A Comprehensive Toolkit for Machine Learning-Driven Data Analysis

MLme simplifies machine learning for researchers by integrating data exploration, AutoML, and visualization, showing promising performance across datasets and identifying cell population markers.

SpheroScan: A User-Friendly Deep Learning Tool for Spheroid Image Analysis

SpheroScan is a deep learning tool for automated spheroid image analysis that improves reproducibility and throughput in 3D spheroid assays.

MLcps: Machine Learning Cumulative Performance Score for classification problems

The paper introduces MLcps, a Python package that combines multiple performance metrics into a single score for classification problems, tested on biological datasets to assess model robustness.