Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention - Accepted in CVPR 2025
Ecotypes of Triple-Negative Breast Cancer in Response to Chemotherapy
Javascript snippets to interact with thenewboston blockchain.
MSc Thesis: Transcriptomics-based investigation of TNBC cell lines
PyTorch beginner code for UNet
Beam-search + heuristic drug regimen ranking (MDCOE/HCOS) for TNBC — bug-fixed search algorithm, validated against a real patient's genomic profile.
Multi-omics kinase target prioritization pipeline for triple-negative breast cancer (TNBC) — CTS scoring across 90 real RTK/NRTK kinases.
multi-omic CTS extension and dependency-prediction ML model
MTNBCPred: Prediction of Metastasis in Triple Negative Breast Cancer Patients
Multi-omic computational pipeline for prioritizing combination-therapy hypotheses in triple-negative breast cancer — kinase target scoring (CTS), regimen ranking (MDCOE/HCOS), DepMap/CPTAC validation, agentic literature discovery, and an in-development GNN-based drug-synergy predictor.
Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer
An Automated Bioinformatics Pipeline for Drug Repurposing in Triple-Negative Breast Cancer ( TNBC )
Automated GATK4 variant discovery pipeline for Triple-Negative Breast Cancer (TNBC) genomic analysis. Identifies high-impact clinical mutations using BWA-MEM, HaplotypeCaller, and Funcotator.
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