Structural Variant Calling in Genomes Using Deep Learning
Completed:
Developed a deep learning-based methodology for detecting structural variants in the human genome, achieving state-of-the-art accuracy with long-read sequencing data.
Research
Thesis
Journal Articles
A Paradigm Shift in Mouza Map Vectorization: A Human-Machine Collaboration Approach
Completed:
Revolutionizing map digitization through a semi-automated pipeline for Mouza maps, integrating deep learning and GIS technologies