scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.

Malignancy classification using simple deep learning method in LIDC-IDRI dataset.

Official repository of "Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data"

A comparative machine learning study classifying breast tumors as malignant or benign using six algorithms on the Wisconsin Breast Cancer dataset.

Program for Analyzing Kidney Ultrasound Scans

inferred CNV And Transcriptome Framework for Identification of Similarity to High-confidence References