Feipeng Zhang

This paper develops a regression model to assess how operational factors affect reproducibility in high-throughput experiments with missing data, showing improved accuracy over existing methods.

This paper introduces CLIMB, a statistical method for detecting high-dimensional associations in genomic data, showing improved precision and biological relevance in hematopoietic datasets.

The paper introduces CFGL, a method for inferring condition-specific gene co-expression networks, showing improved accuracy and revealing biological insights in rat and cancer datasets.

HiCRep assesses Hi-C data reproducibility using a stratum-adjusted correlation coefficient, improving accuracy over existing methods.