Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
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Updated
Feb 25, 2018 - Python
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Improving Information Extraction from Pathology Reports using Named Entity Recognition
The first GANs-based omics-to-omics translation framework
A Platypus-based variant calling pipeline for cancer data
An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)
A Python client for the cbioPortal Cancer API.
Feature selection comparison in breath cancer dataset
Using data from the CDC to track diseases and what might be their causes. Heavily based on data analysis. STILL UNDER CONSTRUCTION!
Dissertation on Cancer Detection [Prostate Cancer] Research and Study
Recursive Multi-view Integration for Subtypes Identification
A project for my Advanced Artificial Intelligence class to apply AI methods to a real-world problem.
Final-year project: System for aggregation and structured querying of cancer pathway data
Diagnostic Cancer Solution - Machine Learning APP with Wisconsin Breast Cancer Database.
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