Analysis of Sars Cov-2 Gene Mutations using Python Numpy and Matplotlib
This project identifies the mutation in genes for cancer detection using textual evidences.
AI HUB Project: Classification of Lung Cancer Slide Images using Deep-Learning
An agent-based model for simulating immune response to Renal Cell Carcinoma and sex-related differences in overall survival of patients.
15 validated medical AI prompts across 5 clinical tasks — tested against Nature Medicine 2024
MAD-GE (Mutant Aware Deconvolution of Gene Expression) builds personalized transcriptomes to quantify mutant alleles from tumor bulk RNA-seq. Coded pre-LLM by a biologist without a strong CS background, this pipeline was recently refactored and tidied with Gemini to ensure transparency and reproducibility for publication.
This project focuses on classifying MECP2 gene mutations as benign or pathogenic using machine learning and deep learning models
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