Akshay Akshay

The paper identifies essential cardiac enhancer modules and regulatory mechanisms governing heart development, revealing resilience in cis-regulatory architectures and the role of Hand2 upstream regulatory intervals.

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.

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

ShinyMultiome.UiO provides an interactive web tool for visualizing single-cell Multiome data using Seurat objects, enabling collaborative analysis and public access.

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

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.

ShinyArchR.UiO provides a user-friendly web interface for visualizing and analyzing scATAC-seq data using ArchR, enabling collaborative interpretation and open data sharing.