The MassiveQC is a python-based tool to perform quality control and detect outliers from large amounts of public data using their self-reporting based on an unsupervised machine learning algorithm (Isolation Forest)
Funding
the Foundation of Hubei Hongshan Laboratory (2021hszd012, 2022hszd024)