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

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

Beam-search + heuristic drug regimen ranking (MDCOE/HCOS) for TNBC — bug-fixed search algorithm, validated against a real patient's genomic profile.

Integrative transcriptomic and network analysis of Triple Negative Breast Cancer (TNBC) using TCGA RNA-seq data to identify differentially expressed genes, hub genes, and dysregulated pathways.

Automated GATK4 variant discovery pipeline for Triple-Negative Breast Cancer (TNBC) genomic analysis. Identifies high-impact clinical mutations using BWA-MEM, HaplotypeCaller, and Funcotator.

Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer

MTNBCPred: Prediction of Metastasis in Triple Negative Breast Cancer Patients