cancer-data

Improving Information Extraction from Pathology Reports using Named Entity Recognition

The first GANs-based omics-to-omics translation framework

Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique

A Platypus-based variant calling pipeline for cancer data

A Python client for the cbioPortal Cancer API.

An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)

Feature selection comparison in breath cancer dataset

Dissertation on Cancer Detection [Prostate Cancer] Research and Study

Cancer Drug Response API

Open-source computational biology microservice for modeling acquired drug resistance pathways and ranking clinical dual-target combination therapies in cancer.

Recursive Multi-view Integration for Subtypes Identification

Final-year project: System for aggregation and structured querying of cancer pathway data

Open-source cancer genomics and biomedical AI evidence portal with MAMMAL-powered interpretation, local LLM explanations, evidence auditing, risk flagging, optional cBioPortal API data retrieval, and human-reviewable cancer reports.

Using data from the CDC to track diseases and what might be their causes. Heavily based on data analysis. STILL UNDER CONSTRUCTION!

Diagnostic Cancer Solution - Machine Learning APP with Wisconsin Breast Cancer Database.

A project for my Advanced Artificial Intelligence class to apply AI methods to a real-world problem.

Cancer-RAPTOR : GPU-accelerated hierarchical search system for cancer medical information