Zhiyue Tom Hu

Large-Scale Information Retrieval and Correction of Noisy Pharmacogenomic Datasets through Residual Thresholded Deep Matrix Factorization

This paper introduces RT-DMF, a deep learning framework to correct noise and impute missing values in pharmacogenomic datasets, improving downstream analysis.

AICM: A Genuine Framework for Correcting Inconsistency Between Large Pharmacogenomics Datasets

The paper introduces a framework to correct inconsistencies in pharmacogenomics datasets by improving drug-wise correlations while preserving cell-wise consistency.