A Platypus-based variant calling pipeline for cancer data
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Updated
Jun 23, 2022 - Python
A Platypus-based variant calling pipeline for cancer data
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
The first GANs-based omics-to-omics translation framework
An example of predicting breast cancer using existing data to learn with decision trees (scikit-learn/python)
Improving Information Extraction from Pathology Reports using Named Entity Recognition
A Python client for the cbioPortal Cancer API.
Using data from the CDC to track diseases and what might be their causes. Heavily based on data analysis. STILL UNDER CONSTRUCTION!
Feature selection comparison in breath cancer dataset
Recursive Multi-view Integration for Subtypes Identification
A project for my Advanced Artificial Intelligence class to apply AI methods to a real-world problem.
Dissertation on Cancer Detection [Prostate Cancer] Research and Study
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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